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Artificial neural networks in pattern recognition : 10th IAPR workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022 : proceedings / / edited by Neamat El Gayar [and three others]
| Artificial neural networks in pattern recognition : 10th IAPR workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022 : proceedings / / edited by Neamat El Gayar [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (213 pages) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Neural networks (Computer science)
Pattern recognition systems |
| ISBN | 3-031-20650-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996500064603316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial neural networks in pattern recognition : 10th IAPR workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022 : proceedings / / edited by Neamat El Gayar [and three others]
| Artificial neural networks in pattern recognition : 10th IAPR workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022 : proceedings / / edited by Neamat El Gayar [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (213 pages) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Neural networks (Computer science)
Pattern recognition systems |
| ISBN | 3-031-20650-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910629295803321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| 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 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. | 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] ] : 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 | ||
| ||
Multiple Classifier Systems [[electronic resource] ] : 9th International Workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010, Proceedings / / edited by Neamat El Gayar, Josef Kittler, Fabio Roli
| Multiple Classifier Systems [[electronic resource] ] : 9th International Workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010, Proceedings / / edited by Neamat El Gayar, Josef Kittler, Fabio Roli |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (X, 328 p. 77 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Application software Pattern recognition systems Algorithms Computer science Database management Artificial Intelligence Computer and Information Systems Applications Automated Pattern Recognition Theory of Computation Database Management |
| ISBN |
1-280-38597-9
9786613563897 3-642-12127-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classifier Ensembles(I) -- Weighted Bagging for Graph Based One-Class Classifiers -- Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers -- New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization -- Incremental Learning of New Classes in Unbalanced Datasets: Learn?+?+?.UDNC -- Tomographic Considerations in Ensemble Bias/Variance Decomposition -- Choosing Parameters for Random Subspace Ensembles for fMRI Classification -- Classifier Ensembles(II) -- An Experimental Study on Ensembles of Functional Trees -- Multiple Classifier Systems under Attack -- SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning -- Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach -- A Double Pruning Algorithm for Classification Ensembles -- Estimation of the Number of Clusters Using Multiple Clustering Validity Indices -- Classifier Diversity -- “Good” and “Bad” Diversity in Majority Vote Ensembles -- Multi-information Ensemble Diversity -- Classifier Selection -- Dynamic Selection of Ensembles of Classifiers Using Contextual Information -- Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems -- Combining Multiple Kernels -- A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities -- Combining Multiple Kernels by Augmenting the Kernel Matrix -- Boosting and Bootstrapping -- Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles -- Boosted Geometry-Based Ensembles -- Online Non-stationary Boosting -- Handwriting Recognition -- Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting -- Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition -- Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition -- Applications -- Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting -- A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM -- A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation -- A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression -- Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells -- An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction -- Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network -- Invited Papers -- Some Thoughts at the Interface of Ensemble Methods and Feature Selection -- Multiple Classifier Systems for the Recogonition of Human Emotions -- Erratum -- Erratum. |
| Record Nr. | UNISA-996465286003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multiple classifier systems : 9th international workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010 : proceedings / / Neamat El Gayar, Josef Kittler, Fabio Roli (eds.)
| Multiple classifier systems : 9th international workshop, MCS 2010, Cairo, Egypt, April 7-9, 2010 : proceedings / / Neamat El Gayar, Josef Kittler, Fabio Roli (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, : Springer, c2010 |
| Descrizione fisica | 1 online resource (X, 328 p. 77 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
El GayarNeamat
KittlerJosef <1946-> RoliFabio <1962-> |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
| Soggetto topico |
Machine learning
Neural networks (Computer science) Pattern perception |
| ISBN |
1-280-38597-9
9786613563897 3-642-12127-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classifier Ensembles(I) -- Weighted Bagging for Graph Based One-Class Classifiers -- Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers -- New Feature Splitting Criteria for Co-training Using Genetic Algorithm Optimization -- Incremental Learning of New Classes in Unbalanced Datasets: Learn?+?+?.UDNC -- Tomographic Considerations in Ensemble Bias/Variance Decomposition -- Choosing Parameters for Random Subspace Ensembles for fMRI Classification -- Classifier Ensembles(II) -- An Experimental Study on Ensembles of Functional Trees -- Multiple Classifier Systems under Attack -- SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning -- Unsupervised Change-Detection in Retinal Images by a Multiple-Classifier Approach -- A Double Pruning Algorithm for Classification Ensembles -- Estimation of the Number of Clusters Using Multiple Clustering Validity Indices -- Classifier Diversity -- “Good” and “Bad” Diversity in Majority Vote Ensembles -- Multi-information Ensemble Diversity -- Classifier Selection -- Dynamic Selection of Ensembles of Classifiers Using Contextual Information -- Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems -- Combining Multiple Kernels -- A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities -- Combining Multiple Kernels by Augmenting the Kernel Matrix -- Boosting and Bootstrapping -- Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles -- Boosted Geometry-Based Ensembles -- Online Non-stationary Boosting -- Handwriting Recognition -- Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting -- Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition -- Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition -- Applications -- Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting -- A Multiple Classifier System for Classification of LIDAR Remote Sensing Data Using Multi-class SVM -- A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation -- A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression -- Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells -- An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction -- Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network -- Invited Papers -- Some Thoughts at the Interface of Ensemble Methods and Feature Selection -- Multiple Classifier Systems for the Recogonition of Human Emotions -- Erratum -- Erratum. |
| Altri titoli varianti | MCS 2010 |
| Record Nr. | UNINA-9910484600003321 |
| Berlin, : Springer, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||