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3D Structure from Images - SMILE 2000 : Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments Dublin, Ireland, July 12, 2000, Revised Papers / / edited by Marc Pollefeys, Luc van Gool, Andrew Zisserman, Andrew Fitzgibbon
| 3D Structure from Images - SMILE 2000 : Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments Dublin, Ireland, July 12, 2000, Revised Papers / / edited by Marc Pollefeys, Luc van Gool, Andrew Zisserman, Andrew Fitzgibbon |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (X, 250 p.) |
| Disciplina | 621.36/7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Lasers Pattern recognition systems Artificial intelligence Computer graphics Computer Vision Laser Automated Pattern Recognition Artificial Intelligence Computer Graphics |
| ISBN |
9783540452966
3540452966 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Presentation -- Pursuing Reality with Image-Based Modeling, Rendering, and Lighting -- Computations and Alghorithms -- Frame Decimation for Structure and Motion -- Stabilizing Image Mosaicing by Model Selection -- On Computing Metric Upgrades of Projective Reconstructions under the Rectangular Pixel Assumption -- A Progressive Scheme for Stereo Matching -- Panel Session on Computations and Algorithms -- Visual Scene Representations -- Rendering with Non-uniform Approximate Concentric Mosaics -- Volumetric Warping for Voxel Coloring on an Infinite Domain -- A Compact Model for Viewpoint Dependent Texture Synthesis -- Augmented Reality Using Uncalibrated Video Sequences -- Panel Session on Visual Scene Representation -- Extended Environments -- Geometry and Texture from Thousands of Images -- VideoPlus: A Method for Capturing the Structure and Appearance of Immersive Environments -- Eyes from Eyes -- Sequential Localisation and Map-Building in Computer Vision and Robotics -- Panel Session on Extended Environments. |
| Record Nr. | UNINA-9910767542003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D Structure from Multiple Images of Large-Scale Environments : European Workshop, SMILE'98, Freiburg, Germany, June 6-7, 1998, Proceedings / / edited by Reinhard Koch, Luc van Gool
| 3D Structure from Multiple Images of Large-Scale Environments : European Workshop, SMILE'98, Freiburg, Germany, June 6-7, 1998, Proceedings / / edited by Reinhard Koch, Luc van Gool |
| Edizione | [1st ed. 1998.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 |
| Descrizione fisica | 1 online resource (VIII, 356 p.) |
| Disciplina | 621.367 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Artificial intelligence Pattern recognition systems Computer Vision Artificial Intelligence Automated Pattern Recognition |
| ISBN | 3-540-49437-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Presentations -- Cumuli, Panorama, and Vanguard Project Overview -- Dualizing Scene Reconstruction Algorithms -- Multiview Relations and Correspondence Search -- Geometry of Multiple Affine Views -- Tensor Embedding of the Fundamental Matrix -- Optimal Estimation of Matching Constraints -- Matching and Reconstruction from Widely Separated Views -- Improving Block-Based Disparity Estimation by Considering the Non-uniform Distribution of the Estimation Error -- 3D Structure from Multiple Images -- Beyond the Epipolar Constraint: Integrating 3D Motion and Structure Estimation -- Multi-Camera Acquisitions for High-Accuracy 3D Reconstruction -- Metric 3D Surface Reconstruction from Uncalibrated Image Sequences -- Automatic 3D Model Construction for Turn-Table Sequences -- Calibration and Reconstruction Using Scene Constraints -- Geometrically Constrained Structure from Motion: Points on Planes -- Euclidean and Affine Structure/Motion for Uncalibrated Cameras from Affine Shape and Subsidiary Information -- From Ordinal to Euclidean Reconstruction with Partial Scene Calibration -- Imposing Euclidean Constraints During Self-Calibration Processes -- Interactive 3D Modeling from Multiple Images Using Scene Regularities -- Range Integration and Augmented Reality Applications -- Integration of Multiple Range Maps through Consistency Processing -- Fitting Geometrical Deformable Models to Registered Range Images -- The Use of Reality Models in Augmented Reality Applications -- Applying Augmented Reality Techniques in the Field of Interactive Collaborative Design -- A Guided Tour Through Multiview Relations. |
| Record Nr. | UNINA-9910143476203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Abdominal Imaging. Computational and Clinical Applications : 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014. / / edited by Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini
| Abdominal Imaging. Computational and Clinical Applications : 6th International Workshop, ABDI 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014. / / edited by Hiroyuki Yoshida, Janne J. Näppi, Sanjay Saini |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XIII, 296 p. 139 illus.) |
| Disciplina | 617.550754 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Computer science Pattern recognition systems Artificial intelligence Computer Vision Theory of Computation Automated Pattern Recognition Artificial Intelligence Computer Science |
| ISBN | 3-319-13692-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Liver and pancreas - ablation, perfusion, and segmentation -- Gastrointestinal tract - Crohn's disease -- Gastrointestinal tract - colonoscopy, colonography -- Abdominal operation planning - registration, segmentation. |
| Record Nr. | UNINA-9910483127503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Abdominal Imaging. Computational and Clinical Applications : 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Hiroyuki Yoshida, Simon Warfield, Michael Vannier
| Abdominal Imaging. Computational and Clinical Applications : 5th International Workshop, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings / / edited by Hiroyuki Yoshida, Simon Warfield, Michael Vannier |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 300 p. 147 illus.) |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Image processing - Digital techniques Computer science Pattern recognition systems Artificial intelligence Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Theory of Computation Automated Pattern Recognition Artificial Intelligence Computer Science |
| ISBN | 3-642-41083-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Model Development Pipeline for Crohn’s Disease Severity Assessment from Magnetic Resonance Images -- Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn’s Disease Patients -- Self Similarity Image Registration based on Reorientation of the Hessian -- Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension -- Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard -- Registration of Temporally Separated CT Colonography Cases -- A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps -- A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition -- Computer-aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation -- Computer-aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study -- Application of Synthetic Sinogram based Low-Dose CT Simulation and Fold-preserving Electronic Cleansing Technique for CT Colonography -- Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography -- Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening -- Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy -- Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI -- Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI -- Contour-based TVUS-MR Image Registration for Mapping Small Endometrial Implants -- Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours -- Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling -- Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models -- 3D Surface Reconstruction of Organs UsingPatient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery -- Multi-atlas and Gaussian Mixture Modeling based Perirectal Fat Segmentation from CT Images -- Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound -- Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness -- Modeling and Simulation of Soft Tissue Deformation -- Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models -- A Generic, Robust and Fully-automatic Workflow for 3D CT Liver Segmentation -- Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms -- Continuous-Time Flow-limited Modeling by Convolution Area Property and Differentiation Product Rule in 4-Phase Liver Dynamic Contrast-Enhanced CT -- Use of Tracer Kinetic Model-driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-pass Perfusion CT -- A Statistical Shape Model for Multiple Organs based on Synthesized-based Learning -- A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. |
| Record Nr. | UNINA-9910483557803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Activity Monitoring by Multiple Distributed Sensing : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers / / edited by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund
| Activity Monitoring by Multiple Distributed Sensing : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers / / edited by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (IX, 117 p. 64 illus.) |
| Disciplina | 681.2 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computer networks
Application software Artificial intelligence Algorithms Software engineering Pattern recognition systems Computer Communication Networks Computer and Information Systems Applications Artificial Intelligence Software Engineering Automated Pattern Recognition |
| ISBN | 3-319-13323-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Distributed Cooperative Architecture for Robotic Networks with Application to Ambient Intelligence -- A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes -- The AVA Multi-View Dataset for Gait Recognition -- Topological Features for Monitoring Human Activities at Distance -- TLD and Struck: A Feature Descriptors Comparative Study -- Group Sleepiness Measurement in Classroom -- A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information -- Visual Tracking via Sparse Representation and Online Dictionary Learning -- A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain. |
| Record Nr. | UNINA-9910484003303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive and Intelligent Systems : Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-9, 2014. Proceedings / / edited by Abdelhamid Bouchachia
| Adaptive and Intelligent Systems : Third International Conference, ICAIS 2014, Bournemouth, UK, September 8-9, 2014. Proceedings / / edited by Abdelhamid Bouchachia |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 193 p. 45 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Database management Pattern recognition systems Algorithms Computer science Artificial Intelligence Computer and Information Systems Applications Database Management Automated Pattern Recognition Theory of Computation |
| ISBN | 3-319-11298-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advances in feature selection -- Clustering and classification -- Adaptive optimization -- Advances in time series analysis. |
| Record Nr. | UNINA-9910484267403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive and Natural Computing Algorithms [[electronic resource] ] : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser
| Adaptive and Natural Computing Algorithms [[electronic resource] ] : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 506 p. 154 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Algorithms Pattern recognition systems Bioinformatics Artificial intelligence Theory of Computation Automated Pattern Recognition Computational and Systems Biology Artificial Intelligence |
| ISBN | 3-642-37213-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Appropriate Refractoriness and Weight Increment in Incremental Learning.- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation -- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation. . |
| Record Nr. | UNISA-996465580303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive and Natural Computing Algorithms : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser
| Adaptive and Natural Computing Algorithms : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 506 p. 154 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Algorithms Pattern recognition systems Bioinformatics Artificial intelligence Theory of Computation Automated Pattern Recognition Computational and Systems Biology Artificial Intelligence |
| ISBN | 3-642-37213-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Appropriate Refractoriness and Weight Increment in Incremental Learning.- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization withTransition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing theNumber of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation -- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support VectorMachines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic SystemIdentification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation. . |
| Record Nr. | UNINA-9910483197203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
| Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong |
| Autore | Xin Bin |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (375 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KubotaNaoyuki
ChenKewei DongFangyan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer vision Robotics Machine learning Pattern recognition systems Artificial Intelligence Computer Vision Machine Learning Automated Pattern Recognition |
| ISBN |
9789819975907
9819975905 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Intelligent Information Processing -- 3D Point Cloud-Based Lithium Battery Surface Defects Detection Using Region Growing Proposal Approach -- 1 Introduction -- 2 Previous Work -- 3 Methodology -- 3.1 Data Acquisition and Preprocessing -- 3.2 Normals Estimation and Segmentation -- 4 Experiments and Discussion -- 5 Conclusion and Future Work -- References -- Reducing Communication Consumption in Collaborative Visual SLAM with Map Point Selection and Efficient Data Compression -- 1 Introduction -- 2 Proposed Method -- 2.1 Mappoints Culling Strategy -- 2.2 Zstd Compression Algorithm -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 Evaluation Metric -- 3.3 Performance Evaluation -- 4 Conclusion -- References -- Optimal Information Fusion Descriptor Fractional Order Kalman Filter -- 1 Introduction -- 2 Problem Formulation -- 3 Kalman Filter for Single Sensor Generalized Fractional Order System -- 4 Observational Fusion Kalman Filter for Generalized Fractional-Order Systems -- 5 Simulation Study -- 6 Conclusions -- References -- Multi-sensor Data Fusion Algorithm for Indoor Fire Detection Based on Ensemble Learning -- 1 Introduction -- 2 Data Selection and Analysis -- 2.1 Data Seletion -- 2.2 Data Processing and Analysis -- 3 Algorithm Analysis and Evaluation -- 3.1 Architechture of Algorithm -- 3.2 Research Methodology -- 3.3 Evaluation Index -- 3.4 Experimental Results -- 4 Conclusion -- References -- Research on Water Surface Environment Perception Method Based on Visual and Positional Information Fusion -- 1 Introduction -- 2 Swan-Net -- 2.1 Feature Extraction Module -- 2.2 Position Information Feature Encoding -- 2.3 Feature Fusion Module -- 2.4 Loss Function -- 3 Experimental Methods and Analysis of Results -- 3.1 Training Dataset.
3.2 Model Structure Ablation Experiment -- 3.3 Performance Comparison of Different Models -- 4 Conclusion -- References -- Novel Fault Diagnosis Method Integrating D-L2-FDA and AdaBoost -- 1 Introduction -- 2 Related Methods -- 2.1 Fisher Discriminant Analysis -- 2.2 Ensemble Learning Method AdaBoost -- 3 The Proposed Method -- 3.1 D-L2-FDA for Feature Extraction -- 3.2 AdaBoost for Fault Diagnosis -- 4 Cases Study -- 4.1 Tennessee Eastman Process -- 4.2 Faults Selection -- 4.3 Confusion Matrix -- 4.4 Comparison with Other Methods -- 5 Conclusions -- References -- Structural Health Monitoring of Similar Gantry Crane Based on Federated Learning Algorithm -- 1 Introduction -- 2 Monitoring Model and Fault Simulation -- 2.1 Monitoring Model and Damage Detection -- 2.2 Wireless Edge Gateway Data Acquisition System -- 2.3 Design and Measurement of Load Excitation -- 3 Federated Learning Algorithm for Fault Identification of Gantry Crane -- 3.1 Algorithm Overview -- 3.2 Unsupervised Neural Network USAD Algorithm -- 3.3 FedAvg -- 3.4 XGBoost -- 4 Experiment -- 4.1 Federated Learning Based Anomaly Detection -- 4.2 Abnormal Classification of Gantry Cranes -- 5 Conclusion -- References -- Accelerated Lifetime Experiment of Maximum Current Ratio Based on Charge and Discharge Capacity Confinement -- 1 Introduction -- 2 Principle of Maximum Current Rate Acceleration Life Experiment -- 3 Constant Current Rate Acceleration -- 4 Variable Current Rate Acceleration -- 4.1 Fixed Time Length Segmentation Acceleration -- 4.2 The Granularity D is Optimized by the Charge Throughput Constraint -- 5 Conclusion -- References -- Adaptive Design of Uni-Variate Alarm Systems Based on Statistical Distance Measures -- 1 Introduction -- 2 Problem Formulation -- 2.1 Detecting Alarm States -- 2.2 Abrupt Faults -- 3 Safe Designed Alarm System -- 4 Statistical Difference Values. 5 Simulated Example -- 6 Conclusion -- References -- Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 Evaluation Methodology -- 2.3 Statistical Analysis of Correlation Model Based on Pseudo-Siamese Network -- 2.4 Data Processing -- 2.5 Correlation Model Establishment and Test Plan -- 3 Results -- 3.1 General Demographic Characteristics -- 3.2 Mediation Effect Analysis -- 3.3 Physical Activity Impact -- 4 Discussion -- References -- Construction and Research of Pediatric Pulmonary Disease Diagnosis and Treatment Experience Knowledge Graph Based on Professor Wang Lie's Experience -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Sources -- 2.2 Inclusion Criteria -- 2.3 Exclusion Criteria -- 2.4 Standardized Processing of Data -- 2.5 Knowledge Extraction -- 2.6 Knowledge Graph Construction Method -- 3 Results -- 3.1 Pattern Layer Graph -- 3.2 Data Layer Graph -- 4 Application of Professor Wang's Knowledge Graph for the Diagnosis and Treatment of Pediatric Pulmonary Diseases -- 5 Conclusion -- References -- A Novel SEIAISRD Model to Evaluate Pandemic Spreading -- 1 Introduction -- 2 Methods -- 2.1 The SEIAISRD Model -- 2.2 Estimating the Effective Reproduction Number -- 2.3 Data-Fitting and Sensitivity Analysis -- 3 Results -- 3.1 Model Formulation and Validation -- 3.2 Case Studies for the Representative Countries -- 4 Conclusion -- References -- Keyword-based Research Field Discovery with External Knowledge Aware Hierarchical Co-clustering -- 1 Introduction -- 2 Background -- 2.1 Co-clustering -- 2.2 HICCAM -- 3 Method -- 3.1 Dataset Preparation -- 3.2 Auxiliary Knowledge Preparation -- 3.3 Clustering -- 3.4 Parameter Tuning -- 4 Results and Discussion -- 4.1 Parameter Study -- 4.2 Case Study -- 5 Conclusion. References -- An End-to-End Intent Recognition Method for Combat Drone Swarm -- 1 Introduction -- 2 Related Work -- 3 General Framework of the End-to-End Intent Recognition Method -- 3.1 Problem Definition -- 3.2 Model Architecture -- 3.3 Mapping Method -- 3.4 Feature Extraction Module -- 3.5 Intent Prediction Module -- 4 Experiments -- 4.1 Data and Environment -- 4.2 Evaluation Metric -- 4.3 Baseline -- 4.4 Result -- 5 Conclusion -- References -- An Attention Detection System Based on Gaze Estimation Using Self-supervised Learning -- 1 Introduction -- 2 Framework of Gaze Estimation -- 2.1 Contrastive Learning Pre-training -- 2.2 Gaze Estimation -- 3 Attention Detection System -- 4 Experiments -- 5 Conclusion -- References -- Effects of Pseudo Labels in Pose Estimation Models Using Semi-supervised Learning -- 1 Introduction -- 2 Related Works -- 2.1 Semi-supervised Learning -- 3 Proposal Learning Procedure -- 4 Experiments -- 4.1 Dataset -- 4.2 Parameter Setup -- 4.3 Epochs Normalization -- 4.4 Evaluation -- 5 Experimental Results and Discussions -- 6 Conclusions and Future Works -- References -- Sequential Masking Imitation Learning for Handling Causal Confusion in Autonomous Driving -- 1 Introduction -- 2 Related Work -- 2.1 Pipelines of Autonomous Driving -- 2.2 Confusion in Imitation -- 3 SEMI Methodology -- 3.1 Semantic Encoder -- 3.2 Masking Semantic Objects in Sequential Setting -- 3.3 Behavior Cloning with Imbalanced Dataset -- 4 Experiment -- 4.1 Network Structure -- 4.2 Simulation Environment and Data Collection -- 4.3 Contrast Experiment -- 5 Results -- 5.1 Evaluation Procedure -- 5.2 Discussion -- 5.3 Analysis -- 6 Conclusion -- References -- Proposal of Timestamp-Based Dynamic Context Features for Music Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Music Recommender System -- 2.2 Context-Aware Music Recommender System. 3 Proposed Method -- 3.1 Dynamic Context Features -- 3.2 Recommendation System -- 4 Experiments -- 4.1 Outline -- 4.2 Results -- 5 Conclusion -- References -- Method to Control Embedded Representation of Piece of Music in Playlists -- 1 Introduction -- 1.1 Notations -- 2 Related Work -- 2.1 Distributed Representation -- 2.2 Music Recommendation -- 3 Proposed Method and Investigation -- 3.1 Investigation on Embeddings -- 3.2 Proposed Method to Reduce Bias -- 4 Conclusion -- References -- Design and Implementation of ANFIS on FPGA and Verification with Class Classification Problem -- 1 Introduction -- 2 Applying AFIS to the Iris Classification -- 3 Hardware Program Design for 16bit ANFIS -- 4 Results and Comparison -- 5 Conclusions and Future Work -- References -- Intelligent Optimization and Decision-Making -- Beacon Localization Method Based on Flower Pollination-Fireworks Algorithm -- 1 Introduction -- 1.1 Wireless Sensor Positioning Technology -- 1.2 Main Research Content -- 2 Beacon Positioning Model -- 2.1 UWB Beacon -- 2.2 Basic Principles of Beacon Positioning -- 2.3 Factors Affecting Beacon Positioning -- 3 RSSI Localization Algorithm Based on Flower Pollination-Fireworks Algorithm -- 3.1 RSSI Localization Algorithm -- 3.2 Fireworks Algorithm -- 3.3 Improved Fireworks Algorithm Based on Flower Pollination -- 3.4 The Algorithm Flow of FP-FWA -- 4 Simulation Experiments and Results Analysis -- 4.1 Preparations Before the Algorithm Experiments -- 4.2 Localization Algorithm Experiment -- 5 Conclusion -- References -- Parameter Identification for Fictitious Play Algorithm in Repeated Games -- 1 Introduction -- 2 Problem Formulation -- 3 The Identification for Parameters in the FP Algorithm -- 3.1 The Identification Algorithm for Assessment Parameter K -- 3.2 The Identification for Irrational 21 -- 4 Conclusions and Future Work -- References. An Improved Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization. |
| Record Nr. | UNINA-9910760282603321 |
Xin Bin
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
| Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong |
| Autore | Xin Bin |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (365 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KubotaNaoyuki
ChenKewei DongFangyan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer vision Robotics Machine learning Pattern recognition systems Artificial Intelligence Computer Vision Machine Learning Automated Pattern Recognition |
| ISBN |
9789819975938
981997593X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pattern Recognition and Computer Vision -- Advanced Control -- Multi-agent Systems -- Robotics. |
| Record Nr. | UNINA-9910760295103321 |
|
Xin Bin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
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Automated Pattern Recognition
(1768)
- Pattern recognition systems (1768)
- Artificial Intelligence (1176)
- Artificial intelligence (1176)
- Computer vision (1098)