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Advanced intelligent computing theories and applications : with aspects of theoretical and methodological issues : Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007 : proceedings / / De-Shuang Huang, Laurent Heutte, Marco Loog, editors
| Advanced intelligent computing theories and applications : with aspects of theoretical and methodological issues : Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007 : proceedings / / De-Shuang Huang, Laurent Heutte, Marco Loog, editors |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (1396 p.) |
| Disciplina | 006 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computational intelligence
Computational biology |
| ISBN | 3-540-74205-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Independent Component Analysis and Blind Source Separation -- Combinatorial and Numerical Optimization -- Neural Computing and Optimization -- Knowledge Discovery and Data Mining -- Artificial Life and Artificial Immune Systems -- Ensemble Methods -- Manifold Learning Theory -- Evolutionary Computing and Genetic Algorithms -- Fuzzy Systems and Soft Computing -- Particle Swarm Optimization and Niche Technology -- Swarm Intelligence and Optimization -- Kernel Methods and Support Vector Machines -- Fine Feature Extraction Methods -- Intelligent Fault Diagnosis -- Fuzzy Control -- Intelligent Human-Computer Interactions for Multi-modal and Autonomous Environment -- Computational Systems Biology -- Intelligent Robot Systems Based on Vision Technology -- Intelligent Computing for Motion Picture Processing -- Particle Swarm Optimization: Theories and Applications -- Recent Advances of Intelligent Computing with Applications in the Multimedia Systems -- Computational Intelligence in Chemoinformatics -- Strategy Design and Optimization of Complex Engineering Problems -- Traffic Optimization -- Intelligent Mobile and Wireless Sensor Networks -- Intelligent Prediction and Time Series Analysis -- Intelligent Computing in Neuroinformatics -- Erratum. |
| Record Nr. | UNINA-9910483362603321 |
| Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced intelligent computing theories and applications : with aspects of theoretical and methodological issues : Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007 : proceedings / / De-Shuang Huang, Laurent Heutte, Marco Loog, editors
| Advanced intelligent computing theories and applications : with aspects of theoretical and methodological issues : Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007 : proceedings / / De-Shuang Huang, Laurent Heutte, Marco Loog, editors |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (1396 p.) |
| Disciplina | 006 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computational intelligence
Computational biology |
| ISBN | 3-540-74205-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Independent Component Analysis and Blind Source Separation -- Combinatorial and Numerical Optimization -- Neural Computing and Optimization -- Knowledge Discovery and Data Mining -- Artificial Life and Artificial Immune Systems -- Ensemble Methods -- Manifold Learning Theory -- Evolutionary Computing and Genetic Algorithms -- Fuzzy Systems and Soft Computing -- Particle Swarm Optimization and Niche Technology -- Swarm Intelligence and Optimization -- Kernel Methods and Support Vector Machines -- Fine Feature Extraction Methods -- Intelligent Fault Diagnosis -- Fuzzy Control -- Intelligent Human-Computer Interactions for Multi-modal and Autonomous Environment -- Computational Systems Biology -- Intelligent Robot Systems Based on Vision Technology -- Intelligent Computing for Motion Picture Processing -- Particle Swarm Optimization: Theories and Applications -- Recent Advances of Intelligent Computing with Applications in the Multimedia Systems -- Computational Intelligence in Chemoinformatics -- Strategy Design and Optimization of Complex Engineering Problems -- Traffic Optimization -- Intelligent Mobile and Wireless Sensor Networks -- Intelligent Prediction and Time Series Analysis -- Intelligent Computing in Neuroinformatics -- Erratum. |
| Record Nr. | UNISA-996465513503316 |
| Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Deep Learning and Data Labeling for Medical Applications [[electronic resource] ] : First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
| Deep Learning and Data Labeling for Medical Applications [[electronic resource] ] : First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 280 p. 115 illus.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Computer graphics Health informatics Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Computer Graphics Health Informatics |
| ISBN | 3-319-46976-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active learning -- Semi-supervised learning -- Reinforcement learning -- Domain adaptation and transfer learning -- Crowd-sourcing annotations and fusion of labels from different sources -- Data augmentation -- Modelling of label uncertainty -- Visualization and human-computer interaction -- Image description -- Medical imaging-based diagnosis -- Medical signal-based diagnosis -- Medical image reconstruction and model selection using deep learning techniques -- Meta-heuristic techniques for fine-tuning -- Parameter in deep learning-based architectures -- Applications based on deep learning techniques. |
| Record Nr. | UNISA-996465402503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Deep Learning and Data Labeling for Medical Applications : First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
| Deep Learning and Data Labeling for Medical Applications : First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings / / edited by Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 280 p. 115 illus.) |
| Disciplina | 610.285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Artificial intelligence Computer graphics Health informatics Image Processing and Computer Vision Pattern Recognition Artificial Intelligence Computer Graphics Health Informatics |
| ISBN | 3-319-46976-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active learning -- Semi-supervised learning -- Reinforcement learning -- Domain adaptation and transfer learning -- Crowd-sourcing annotations and fusion of labels from different sources -- Data augmentation -- Modelling of label uncertainty -- Visualization and human-computer interaction -- Image description -- Medical imaging-based diagnosis -- Medical signal-based diagnosis -- Medical image reconstruction and model selection using deep learning techniques -- Meta-heuristic techniques for fine-tuning -- Parameter in deep learning-based architectures -- Applications based on deep learning techniques. |
| Record Nr. | UNINA-9910483811703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition in Bioinformatics [[electronic resource] ] : 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011, Proceedings / / edited by Marco Loog, Lodewyk Wessels, Marcel J.T. Reinders, Dick de Ridder
| Pattern Recognition in Bioinformatics [[electronic resource] ] : 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011, Proceedings / / edited by Marco Loog, Lodewyk Wessels, Marcel J.T. Reinders, Dick de Ridder |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XII, 344 p.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Health informatics Pattern recognition Data mining Algorithms Artificial intelligence Computational Biology/Bioinformatics Health Informatics Pattern Recognition Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Artificial Intelligence |
| Soggetto genere / forma | Kongress2011.Delft |
| ISBN | 3-642-24855-1 |
| Classificazione |
BIO 110f
DAT 770f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465966803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Similarity-Based Pattern Recognition [[electronic resource] ] : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings / / edited by Aasa Feragen, Marcello Pelillo, Marco Loog
| Similarity-Based Pattern Recognition [[electronic resource] ] : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings / / edited by Aasa Feragen, Marcello Pelillo, Marco Loog |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (VIII, 229 p. 78 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Database management Algorithms Application software Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) |
| ISBN | 3-319-24261-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Novel Data Representation based on a Second-Order Dissimilarity Measure -- Characterizing Multiple Instance Datasets -- Supervised learning of diffiusion distance to improve histogram matching -- Similarity Analysis from Limiting Quantum Walks -- Introducing Negative Evidence in Ensemble Clustering -- Dissimilarity representations for low-resolution face recognition -- Deep metric learning using Triplet network -- Cluster Merging Based on Dominant Sets -- An Adaptive Radial Basis Function Kernel for Support Vector Data Description -- Robust initialization for learning Latent Dirichlet Allocation -- Unsupervised Motion Segmentation Using Metric Embedding of Features -- Transitive Assignment Kernels for Structural Classification -- Large scale Indefinite Kernel Fisher Discriminant -- Similarity-based User Identification across Social Networks -- Dominant-Set Clustering Using Multiple Affinity Matrices -- Distance-Based Network Recovery under Feature Correlation -- Discovery of salient low-dimensional dynamical structure using Hopfield Networks -- On Geodesic Exponential Kernels -- A Matrix Factorization Approach to Graph Compression -- A Geometrical Approach to Find Corresponding Patches in 3D Medical Surfaces -- Similarities, SDEs, and Most Probable Paths -- Can the optimum similarity matrix be selected before clustering for graph-based approaches? -- Approximate spectral clustering with utilized similarity information fusing geodesic based hybrid distance measures. |
| Record Nr. | UNISA-996466318103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings / / edited by Aasa Feragen, Marcello Pelillo, Marco Loog
| Similarity-Based Pattern Recognition : Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings / / edited by Aasa Feragen, Marcello Pelillo, Marco Loog |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (VIII, 229 p. 78 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Database management Algorithms Application software Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) |
| ISBN | 3-319-24261-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Novel Data Representation based on a Second-Order Dissimilarity Measure -- Characterizing Multiple Instance Datasets -- Supervised learning of diffiusion distance to improve histogram matching -- Similarity Analysis from Limiting Quantum Walks -- Introducing Negative Evidence in Ensemble Clustering -- Dissimilarity representations for low-resolution face recognition -- Deep metric learning using Triplet network -- Cluster Merging Based on Dominant Sets -- An Adaptive Radial Basis Function Kernel for Support Vector Data Description -- Robust initialization for learning Latent Dirichlet Allocation -- Unsupervised Motion Segmentation Using Metric Embedding of Features -- Transitive Assignment Kernels for Structural Classification -- Large scale Indefinite Kernel Fisher Discriminant -- Similarity-based User Identification across Social Networks -- Dominant-Set Clustering Using Multiple Affinity Matrices -- Distance-Based Network Recovery under Feature Correlation -- Discovery of salient low-dimensional dynamical structure using Hopfield Networks -- On Geodesic Exponential Kernels -- A Matrix Factorization Approach to Graph Compression -- A Geometrical Approach to Find Corresponding Patches in 3D Medical Surfaces -- Similarities, SDEs, and Most Probable Paths -- Can the optimum similarity matrix be selected before clustering for graph-based approaches? -- Approximate spectral clustering with utilized similarity information fusing geodesic based hybrid distance measures. |
| Record Nr. | UNINA-9910484213003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 588 p. 167 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Application software Database management Algorithms Data mining Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Database Management Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-49055-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Dimensionality reduction -- Manifold learning and embedding methods.-Dissimilarity representations -- Graph-theoretic methods -- Model selection, classification and clustering -- Semi and fully supervised learning methods -- Shape analysis -- Spatio-temporal pattern recognition -- Structural matching -- Text and document analysis. . |
| Record Nr. | UNISA-996465483403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson
| Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings / / edited by Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIII, 588 p. 167 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Application software Database management Algorithms Data mining Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Database Management Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-319-49055-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Dimensionality reduction -- Manifold learning and embedding methods.-Dissimilarity representations -- Graph-theoretic methods -- Model selection, classification and clustering -- Semi and fully supervised learning methods -- Shape analysis -- Spatio-temporal pattern recognition -- Structural matching -- Text and document analysis. . |
| Record Nr. | UNINA-9910483586303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014, Proceedings / / edited by Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014, Proceedings / / edited by Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XX, 478 p. 124 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Pattern recognition Application software Database management Algorithms Data mining Artificial Intelligence Pattern Recognition Information Systems Applications (incl. Internet) Database Management Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| ISBN | 3-662-44415-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Graph Kernels -- A Graph Kernel from the Depth-Based Representation -- Incorporating Molecule’s Stereoisomerism within the Machine Learning Framework -- Transitive State Alignment for the Quantum Jensen-Shannon Kernel -- Clustering -- Balanced K-Means for Clustering -- Poisoning Complete-Linkage Hierarchical Clustering -- A Comparison of Categorical Attribute Data Clustering Methods -- Graph Edit Distance -- Improving Approximate Graph Edit Distance Using Genetic Algorithms -- Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks -- A Hausdorff Heuristic for Efficient Computation of Graph Edit Distance -- Graph Models and Embedding -- Flip-Flop Sublinear Models for Graphs -- Node Centrality for Continuous-Time Quantum Walks -- Max-Correlation Embedding Computation -- Discriminant Analysis -- Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels -- Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model -- Combining and Selecting -- Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood -- Majority Vote of Diverse Classifiers for Late Fusion -- Entropic Graph Embedding via Multivariate Degree Distributions -- On Parallel Lines in Noisy Forms -- Metrics and Dissimilarities -- Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance -- Matching Similarity for Keyword-Based Clustering -- Applications -- Quantum vs Classical Ranking in Segment Grouping -- Remove Noise in Video with 3D Topological Maps -- Video Analysis of a Snooker Footage Based on a Kinematic Model -- Partial Supervision -- Evaluating Classification Performance with only Positive and Unlabeled Samples -- Who Is Missing? A New Pattern Recognition Puzzle -- Poster Session -- Edit Distance Computed by Fast Bipartite Graph Matching -- Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence -- Analyses on Generalization Error of Ensemble Kernel Regressors -- Structural Human Shape Analysis for Modeling and Recognition -- On Cross-Validation for MLP Model Evaluation -- Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions -- Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition -- About Combining Metric Learning and Prototype Generation -- Tracking System with Re-identification Using a RGB String Kernel -- Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria -- IOWA Operators and Its Application to Image Retrieval -- On Optimum Thresholding of Multivariate Change Detectors -- Commute Time for a Gaussian Wave Packet on a Graph -- Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data -- A Binary Factor Graph Model for Biclustering -- Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words -- A Ranking Part Model for Object Detection -- Regular Decomposition of Multivariate Time Series and Other Matrices -- Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms -- Improved Object Matching Using Structural Relations -- Designing LDPC Codes for ECOC Classification Systems -- Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication. |
| Record Nr. | UNINA-9910484088903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
