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Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings / / edited by Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings / / edited by Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XI, 408 p. 132 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing Natural language processing (Computer science) Data mining Artificial Intelligence Pattern Recognition Image Processing and Computer Vision Natural Language Processing (NLP) Data Mining and Knowledge Discovery |
| ISBN | 3-319-99978-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466345203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings / / edited by Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin
| Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings / / edited by Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XI, 408 p. 132 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition systems Computer vision Natural language processing (Computer science) Data mining Artificial Intelligence Automated Pattern Recognition Computer Vision Natural Language Processing (NLP) Data Mining and Knowledge Discovery |
| ISBN |
9783319999784
3319999788 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910349411503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings / / edited by Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings / / edited by Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XI, 335 p. 107 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition systems Data mining Computer vision User interfaces (Computer systems) Human-computer interaction Computer science Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Vision User Interfaces and Human Computer Interaction Theory of Computation |
| ISBN | 3-319-46182-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning sequential data with the help of linear systems -- A spiking neural network for personalised modelling of Electrogastogrophy (EGG) -- Improving generalization abilities of maximal average margin classifiers -- Finding small sets of random Fourier features for shift-invariant kernel approximation -- Incremental construction of low-dimensional data representations -- Soft-constrained nonparametric density estimation with artificial neural networks -- Density based clustering via dominant sets -- Co-training with credal models -- Interpretable classifiers in precision medicine: feature selection and multi-class categorization -- On the evaluation of tensor-based representations for optimum-pathforest classification -- On the harmony search using quaternions -- Learning parameters in deep belief networks through firefly algorithm -- Towards effective classification of imbalanced data with convolutional neural networks -- On CPU performance optimization of restricted Boltzmann machine and convolutional RBM -- Comparing incremental learning strategies for convolutional neural networks -- Approximation of graph edit distance by means of a utility matrix -- Time series classification in reservoir- and model-space: a comparison -- Objectness scoring and detection proposals in forward-Looking sonar images with convolutional neural networks -- Background categorization for automatic animal detection in aerial videos using neural networks -- Predictive segmentation using multichannel neural networks in Arabic OCR system -- Quad-tree based image segmentation and feature extraction to recognize online handwritten Bangla characters -- A hybrid recurrent neural network/dynamic probabilistic graphical model predictor of the disulfide bonding state of cysteines from the primary structure of proteins -- Using radial basis function neural networks for continuous anddiscrete pain estimation from bio-physiological signals -- Active learning for speech event detection in HCI -- Emotion recognition in speech with deep learning architectures -- On gestures and postural behavior as a modality in ensemble methods -- Machine learning driven heart rate detection with camera photoplethysmography in time domain. . |
| Record Nr. | UNISA-996466244203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks in Pattern Recognition : 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings / / edited by Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin
| Artificial Neural Networks in Pattern Recognition : 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28–30, 2016, Proceedings / / edited by Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XI, 335 p. 107 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition systems Data mining Computer vision User interfaces (Computer systems) Human-computer interaction Computer science Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Vision User Interfaces and Human Computer Interaction Theory of Computation |
| ISBN | 3-319-46182-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning sequential data with the help of linear systems -- A spiking neural network for personalised modelling of Electrogastogrophy (EGG) -- Improving generalization abilities of maximal average margin classifiers -- Finding small sets of random Fourier features for shift-invariant kernel approximation -- Incremental construction of low-dimensional data representations -- Soft-constrained nonparametric density estimation with artificial neural networks -- Density based clustering via dominant sets -- Co-training with credal models -- Interpretable classifiers in precision medicine: feature selection and multi-class categorization -- On the evaluation of tensor-based representations for optimum-pathforest classification -- On the harmony search using quaternions -- Learning parameters in deep belief networks through firefly algorithm -- Towards effective classification of imbalanced data with convolutional neural networks -- On CPU performance optimization of restricted Boltzmann machine and convolutional RBM -- Comparing incremental learning strategies for convolutional neural networks -- Approximation of graph edit distance by means of a utility matrix -- Time series classification in reservoir- and model-space: a comparison -- Objectness scoring and detection proposals in forward-Looking sonar images with convolutional neural networks -- Background categorization for automatic animal detection in aerial videos using neural networks -- Predictive segmentation using multichannel neural networks in Arabic OCR system -- Quad-tree based image segmentation and feature extraction to recognize online handwritten Bangla characters -- A hybrid recurrent neural network/dynamic probabilistic graphical model predictor of the disulfide bonding state of cysteines from the primary structure of proteins -- Using radial basis function neural networks for continuous anddiscrete pain estimation from bio-physiological signals -- Active learning for speech event detection in HCI -- Emotion recognition in speech with deep learning architectures -- On gestures and postural behavior as a modality in ensemble methods -- Machine learning driven heart rate detection with camera photoplethysmography in time domain. . |
| Record Nr. | UNINA-9910484392003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings / / edited by Neamat El Gayar, Friedhelm Schwenker, Cheng Suen
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings / / edited by Neamat El Gayar, Friedhelm Schwenker, Cheng Suen |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 289 p. 82 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Data mining Optical data processing User interfaces (Computer systems) Computers Artificial Intelligence Pattern Recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision User Interfaces and Human Computer Interaction Computation by Abstract Devices |
| ISBN | 3-319-11656-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Decorrelation Approach for Pruning of Multilayer Perceptron Networks -- Entity Recognition -- Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs -- Low-dimensional Data Representation in Data Analysis -- Analyzing dynamic ensemble selection techniques using dissimilarity Analysis -- Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling -- Majority-Class aware Support Vector Domain Oversampling for Imbalanced Classification Problems -- Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data -- Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams: Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation -- Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time -- Linear contrast classifiers in high-dimensional spaces -- A new multi-class fuzzy support vector machine algorithm -- A reinforcement learning algorithm to train a Tetris playing agent -- Bio-inspired optic ow from event-based neuromorphic sensor input -- Comparative Study of Feature Selection for White Blood Cell End-Shape Recognition for Arabic Handwritten Text Segmentation -- Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study -- Face Recognition based on Discriminative Dictionary with Multilevel Feature Fusion -- Ensembles in Ubiquitous Healthcare Systems. |
| Record Nr. | UNISA-996199682603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks in Pattern Recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings / / edited by Neamat El Gayar, Friedhelm Schwenker, Cheng Suen
| Artificial Neural Networks in Pattern Recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014, Proceedings / / edited by Neamat El Gayar, Friedhelm Schwenker, Cheng Suen |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 289 p. 82 illus.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern perception Data mining Optical data processing User interfaces (Computer systems) Computers Artificial Intelligence Pattern Recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision User Interfaces and Human Computer Interaction Computation by Abstract Devices |
| ISBN | 3-319-11656-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Decorrelation Approach for Pruning of Multilayer Perceptron Networks -- Entity Recognition -- Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs -- Low-dimensional Data Representation in Data Analysis -- Analyzing dynamic ensemble selection techniques using dissimilarity Analysis -- Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling -- Majority-Class aware Support Vector Domain Oversampling for Imbalanced Classification Problems -- Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data -- Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams: Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation -- Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time -- Linear contrast classifiers in high-dimensional spaces -- A new multi-class fuzzy support vector machine algorithm -- A reinforcement learning algorithm to train a Tetris playing agent -- Bio-inspired optic ow from event-based neuromorphic sensor input -- Comparative Study of Feature Selection for White Blood Cell End-Shape Recognition for Arabic Handwritten Text Segmentation -- Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study -- Face Recognition based on Discriminative Dictionary with Multilevel Feature Fusion -- Ensembles in Ubiquitous Healthcare Systems. |
| Record Nr. | UNINA-9910482965803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012, Proceedings / / edited by Nadia Mana, Friedhelm Schwenker, Edmondo Trentin
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012, Proceedings / / edited by Nadia Mana, Friedhelm Schwenker, Edmondo Trentin |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (X, 245 p. 80 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Pattern recognition Data mining Optical data processing User interfaces (Computer systems) Artificial Intelligence Pattern Recognition Data Mining and Knowledge Discovery Image Processing and Computer Vision User Interfaces and Human Computer Interaction Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-642-33212-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning Algorithms -- How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?- Kernel Robust Soft Learning Vector Quantization -- Incremental Learning by Message Passing in Hierarchical Temporal -- Representative Prototype Sets for Data Characterization and Classification -- Feature Selection by Block Addition and Block Deletion -- Gradient Algorithms for Exploration/Exploitation Trade-Offs: Global and Local Variants -- Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning -- Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation -- Statistical Recognition of a Set of Patterns Using Novel Probability Neural Network -- On Graph-Associated Matrices and Their Eigenvalues for Optical Character Recognition -- Classification of Segmented Objects through a Multi-net Approach -- On Instance Selection in Audio Based Emotion Recognition -- Grayscale Images and RGB Video: Compression by Morphological Neural Network -- NeuCube EvoSpike Architecture for Spatio-temporal Modelling and Pattern Recognition of Brain Signals. |
| Record Nr. | UNISA-996465767103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings / / edited by Friedhelm Schwenker, Neamat El Gayar
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 4th IAPR TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010, Proceedings / / edited by Friedhelm Schwenker, Neamat El Gayar |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XII, 280 p. 83 illus.) |
| Disciplina | 006.4 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern recognition
Artificial intelligence Application software Database management Algorithms Data mining Pattern Recognition Artificial Intelligence Information Systems Applications (incl. Internet) Database Management Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery |
| Soggetto genere / forma |
Kairo (2010)
Kongress. |
| ISBN | 3-642-12159-4 |
| Classificazione |
DAT 717f
DAT 770f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Supervised Learning -- Pattern Classification Using a Penalized Likelihood Method -- Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis -- Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers -- A New Monte Carlo-Based Error Rate Estimator -- Recognition of Sequences of Graphical Patterns -- Maximum Echo-State-Likelihood Networks for Emotion Recognition -- Robustness Analysis of Eleven Linear Classifiers in Extremely High–Dimensional Feature Spaces -- Unsupervised Learning -- Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis -- SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Means -- The Mathematics of Divergence Based Online Learning in Vector Quantization -- Cluster Analysis of Cortical Pyramidal Neurons Using SOM -- Parallelized Kernel Patch Clustering -- Visual Pattern Recognition -- Neural Network Cascade for Facial Feature Localization -- A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences -- Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling -- Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts -- Applications -- A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks -- Swarm Based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control -- Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images -- Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals -- Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques -- Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations -- VLSI Architecture of the Fuzzy Fingerprint Vault System -- Invited Talk -- Clustering Very Large Dissimilarity Data Sets. |
| Record Nr. | UNISA-996465281803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial neural networks in pattern recognition : 4th IAPT TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010 : proceedings / / [edited by] Friedhelm Schwenker, Neamat El Gayar
| Artificial neural networks in pattern recognition : 4th IAPT TC3 Workshop, ANNPR 2010, Cairo, Egypt, April 11-13, 2010 : proceedings / / [edited by] Friedhelm Schwenker, Neamat El Gayar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XII, 280 p. 83 illus.) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
SchwenkerFriedhelm
El GayarNeamat |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence |
| Soggetto topico |
Pattern recognition systems
Neural networks (Computer science) Artificial intelligence |
| ISBN | 3-642-12159-4 |
| Classificazione |
DAT 717f
DAT 770f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Supervised Learning -- Pattern Classification Using a Penalized Likelihood Method -- Evaluation of Feature Selection by Multiclass Kernel Discriminant Analysis -- Correlation-Based and Causal Feature Selection Analysis for Ensemble Classifiers -- A New Monte Carlo-Based Error Rate Estimator -- Recognition of Sequences of Graphical Patterns -- Maximum Echo-State-Likelihood Networks for Emotion Recognition -- Robustness Analysis of Eleven Linear Classifiers in Extremely High–Dimensional Feature Spaces -- Unsupervised Learning -- Global Coordination Based on Matrix Neural Gas for Dynamic Texture Synthesis -- SIC-Means: A Semi-fuzzy Approach for Clustering Data Streams Using C-Means -- The Mathematics of Divergence Based Online Learning in Vector Quantization -- Cluster Analysis of Cortical Pyramidal Neurons Using SOM -- Parallelized Kernel Patch Clustering -- Visual Pattern Recognition -- Neural Network Cascade for Facial Feature Localization -- A Hidden Markov Model Based Approach for Facial Expression Recognition in Image Sequences -- Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling -- Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts -- Applications -- A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks -- Swarm Based Fuzzy Discriminant Analysis for Multifunction Prosthesis Control -- Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images -- Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals -- Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques -- Exploiting Neural Networks to Enhance Trend Forecasting for Hotels Reservations -- VLSI Architecture of the Fuzzy Fingerprint Vault System -- Invited Talk -- Clustering Very Large Dissimilarity Data Sets. |
| Record Nr. | UNINA-9910484610503321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings / / edited by Lionel Prevost, Simone Marinai, Friedhelm Schwenker
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings / / edited by Lionel Prevost, Simone Marinai, Friedhelm Schwenker |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (IX, 322 p.) |
| Disciplina | 006.312 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Computer engineering Pattern recognition Artificial intelligence Application software Biometrics (Biology) Data Mining and Knowledge Discovery Computer Engineering Pattern Recognition Artificial Intelligence Information Systems Applications (incl. Internet) Biometrics |
| ISBN | 3-540-69939-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Unsupervised Learning -- Patch Relational Neural Gas – Clustering of Huge Dissimilarity Datasets -- The Block Generative Topographic Mapping -- Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs -- Probabilistic Models Based on the ?-Sigmoid Distribution -- How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise -- Supervised Learning -- Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis -- Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network -- Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics -- Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four -- Cyclostationary Neural Networks for Air Pollutant Concentration Prediction -- Fuzzy Evolutionary Probabilistic Neural Networks -- Experiments with Supervised Fuzzy LVQ -- A Neural Network Approach to Similarity Learning -- Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes -- Multiple Classifiers -- Boosting Threshold Classifiers for High– Dimensional Data in Functional Genomics -- Decision Fusion on Boosting Ensembles -- The Mixture of Neural Networks as Ensemble Combiner -- Combining Methods for Dynamic Multiple Classifier Systems -- Researching on Multi-net Systems Based on Stacked Generalization -- Applications -- Real-Time Emotion Recognition from Speech Using Echo State Networks -- Sentence Understanding and Learning of New Words with Large-Scale Neural Networks -- Multi-class Vehicle Type Recognition System -- A Bio-inspired Neural Model for Colour Image Segmentation -- Mining Software Aging Patterns by Artificial Neural Networks -- Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy -- Feature Selection -- Feature Ranking Ensembles for Facial Action Unit Classification -- Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration -- Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition -- Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint. |
| Record Nr. | UNISA-996465737103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
