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Multiple Classifier Systems [[electronic resource] ] : 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings / / edited by Fabio Roli, Josef Kittler, Terry Windeatt
| Multiple Classifier Systems [[electronic resource] ] : 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings / / edited by Fabio Roli, Josef Kittler, Terry Windeatt |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XII, 392 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing Computers Artificial Intelligence Pattern Recognition Image Processing and Computer Vision Computation by Abstract Devices |
| ISBN |
1-280-30778-1
9786610307784 3-540-25966-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Classifier Ensembles for Changing Environments -- A Generic Sensor Fusion Problem: Classification and Function Estimation -- Bagging and Boosting -- AveBoost2: Boosting for Noisy Data -- Bagging Decision Multi-trees -- Learn++.MT: A New Approach to Incremental Learning -- Beyond Boosting: Recursive ECOC Learning Machines -- Exact Bagging with k-Nearest Neighbour Classifiers -- Combination Methods -- Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach -- Combining One-Class Classifiers to Classify Missing Data -- Combining Kernel Information for Support Vector Classification -- Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate -- Combining Dissimilarity-Based One-Class Classifiers -- A Modular System for the Classification of Time Series Data -- A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles -- Classifier Fusion Using Triangular Norms -- Dynamic Integration of Regression Models -- Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule -- Design Methods -- Spectral Measure for Multi-class Problems -- The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation -- A Method for Designing Cost-Sensitive ECOC -- Building Graph-Based Classifier Ensembles by Random Node Selection -- A Comparison of Ensemble Creation Techniques -- Multiple Classifiers System for Reducing Influences of Atypical Observations -- Sharing Training Patterns among Multiple Classifiers -- Performance Analysis -- First Experiments on Ensembles of Radial Basis Functions -- Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias–Variance Analysis -- Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers -- An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems -- Experiments on Ensembles with Missing and Noisy Data -- Applications -- Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign -- Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition -- Network Intrusion Detection by a Multi-stage Classification System -- Application of Breiman’s Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules -- Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification -- Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification -- High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers -- Second Guessing a Commercial’Black Box’ Classifier by an’In House’ Classifier: Serial Classifier Combination in a Speech Recognition Application. |
| Record Nr. | UNINA-9910144153303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple Classifier Systems [[electronic resource] ] : 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings / / edited by Fabio Roli, Josef Kittler, Terry Windeatt
| Multiple Classifier Systems [[electronic resource] ] : 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings / / edited by Fabio Roli, Josef Kittler, Terry Windeatt |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XII, 392 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Pattern recognition Optical data processing Computers Artificial Intelligence Pattern Recognition Image Processing and Computer Vision Computation by Abstract Devices |
| ISBN |
1-280-30778-1
9786610307784 3-540-25966-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Classifier Ensembles for Changing Environments -- A Generic Sensor Fusion Problem: Classification and Function Estimation -- Bagging and Boosting -- AveBoost2: Boosting for Noisy Data -- Bagging Decision Multi-trees -- Learn++.MT: A New Approach to Incremental Learning -- Beyond Boosting: Recursive ECOC Learning Machines -- Exact Bagging with k-Nearest Neighbour Classifiers -- Combination Methods -- Yet Another Method for Combining Classifiers Outputs: A Maximum Entropy Approach -- Combining One-Class Classifiers to Classify Missing Data -- Combining Kernel Information for Support Vector Classification -- Combining Classifiers Using Dependency-Based Product Approximation with Bayes Error Rate -- Combining Dissimilarity-Based One-Class Classifiers -- A Modular System for the Classification of Time Series Data -- A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles -- Classifier Fusion Using Triangular Norms -- Dynamic Integration of Regression Models -- Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule -- Design Methods -- Spectral Measure for Multi-class Problems -- The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation -- A Method for Designing Cost-Sensitive ECOC -- Building Graph-Based Classifier Ensembles by Random Node Selection -- A Comparison of Ensemble Creation Techniques -- Multiple Classifiers System for Reducing Influences of Atypical Observations -- Sharing Training Patterns among Multiple Classifiers -- Performance Analysis -- First Experiments on Ensembles of Radial Basis Functions -- Random Aggregated and Bagged Ensembles of SVMs: An Empirical Bias–Variance Analysis -- Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers -- An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems -- Experiments on Ensembles with Missing and Noisy Data -- Applications -- Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign -- Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting Recognition -- Network Intrusion Detection by a Multi-stage Classification System -- Application of Breiman’s Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules -- Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification -- Physics-Based Decorrelation of Image Data for Decision Level Fusion in Face Verification -- High Security Fingerprint Verification by Perceptron-Based Fusion of Multiple Matchers -- Second Guessing a Commercial’Black Box’ Classifier by an’In House’ Classifier: Serial Classifier Combination in a Speech Recognition Application. |
| Record Nr. | UNISA-996465438303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multiple Classifier Systems [[electronic resource] ] : 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings / / edited by Terry Windeatt, Fabio Roli
| Multiple Classifier Systems [[electronic resource] ] : 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings / / edited by Terry Windeatt, Fabio Roli |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (X, 414 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Ensemble learning (Machine learning)
Computer industry Pattern recognition Computers Artificial intelligence Optical data processing The Computer Industry Pattern Recognition Computation by Abstract Devices Artificial Intelligence Image Processing and Computer Vision |
| ISBN | 3-540-44938-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper -- Data Dependence in Combining Classifiers -- Boosting -- Boosting with Averaged Weight Vectors -- Error Bounds for Aggressive and Conservative AdaBoost -- An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise -- The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns -- Combination Rules -- The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement -- Reducing the Overconfidence of Base Classifiers when Combining Their Decisions -- Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results -- Comparison of Classifier Selection Methods for Improving Committee Performance -- Towards Automated Classifier Combination for Pattern Recognition -- Multi-class Methods -- Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding -- Polychotomous Classification with Pairwise Classifiers: A New Voting Principle -- Multi-category Classification by Soft-Max Combination of Binary Classifiers -- A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy -- Binary Classifier Fusion Based on the Basic Decomposition Methods -- Fusion Schemes Architectures -- Good Error Correcting Output Codes for Adaptive Multiclass Learning -- Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors -- An Ensemble Approach for Data Fusion with Learn++ -- The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion -- Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database -- Beam Search Extraction and Forgetting Strategies on Shared Ensembles -- A Markov Chain Approach to Multiple Classifier Fusion -- Neural Network Ensembles -- A Study of Ensemble of Hybrid Networks with Strong Regularization -- Combining Multiple Modes of Information Using Unsupervised Neural Classifiers -- Neural Net Ensembles for Lithology Recognition -- Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks -- Ensemble Strategies -- Negative Correlation Learning and the Ambiguity Family of Ensemble Methods -- Spectral Coefficients and Classifier Correlation -- Ensemble Construction via Designed Output Distortion -- Simulating Classifier Outputs for Evaluating Parallel Combination Methods -- A New Ensemble Diversity Measure Applied to Thinning Ensembles -- Ensemble Methods for Noise Elimination in Classification Problems -- Applications -- New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task -- Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems -- A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks -- Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition -- Building Classifier Ensembles for Automatic Sports Classification -- Classification of Aircraft Maneuvers for Fault Detection -- Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System -- Design and Evaluation of an Adaptive Combination Framework for OCR Result Strings. |
| Record Nr. | UNISA-996466156503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multiple Classifier Systems [[electronic resource] ] : 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings / / edited by Terry Windeatt, Fabio Roli
| Multiple Classifier Systems [[electronic resource] ] : 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings / / edited by Terry Windeatt, Fabio Roli |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (X, 414 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Ensemble learning (Machine learning)
Computer industry Pattern recognition Computers Artificial intelligence Optical data processing The Computer Industry Pattern Recognition Computation by Abstract Devices Artificial Intelligence Image Processing and Computer Vision |
| ISBN | 3-540-44938-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Paper -- Data Dependence in Combining Classifiers -- Boosting -- Boosting with Averaged Weight Vectors -- Error Bounds for Aggressive and Conservative AdaBoost -- An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise -- The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns -- Combination Rules -- The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement -- Reducing the Overconfidence of Base Classifiers when Combining Their Decisions -- Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results -- Comparison of Classifier Selection Methods for Improving Committee Performance -- Towards Automated Classifier Combination for Pattern Recognition -- Multi-class Methods -- Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding -- Polychotomous Classification with Pairwise Classifiers: A New Voting Principle -- Multi-category Classification by Soft-Max Combination of Binary Classifiers -- A Sequential Scheduling Approach to Combining Multiple Object Classifiers Using Cross-Entropy -- Binary Classifier Fusion Based on the Basic Decomposition Methods -- Fusion Schemes Architectures -- Good Error Correcting Output Codes for Adaptive Multiclass Learning -- Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors -- An Ensemble Approach for Data Fusion with Learn++ -- The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion -- Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database -- Beam Search Extraction and Forgetting Strategies on Shared Ensembles -- A Markov Chain Approach to Multiple Classifier Fusion -- Neural Network Ensembles -- A Study of Ensemble of Hybrid Networks with Strong Regularization -- Combining Multiple Modes of Information Using Unsupervised Neural Classifiers -- Neural Net Ensembles for Lithology Recognition -- Improving Performance of a Multiple Classifier System Using Self-generating Neural Networks -- Ensemble Strategies -- Negative Correlation Learning and the Ambiguity Family of Ensemble Methods -- Spectral Coefficients and Classifier Correlation -- Ensemble Construction via Designed Output Distortion -- Simulating Classifier Outputs for Evaluating Parallel Combination Methods -- A New Ensemble Diversity Measure Applied to Thinning Ensembles -- Ensemble Methods for Noise Elimination in Classification Problems -- Applications -- New Boosting Algorithms for Classification Problems with Large Number of Classes Applied to a Handwritten Word Recognition Task -- Automatic Target Recognition Using Multiple Description Coding Models for Multiple Classifier Systems -- A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks -- Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition -- Building Classifier Ensembles for Automatic Sports Classification -- Classification of Aircraft Maneuvers for Fault Detection -- Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System -- Design and Evaluation of an Adaptive Combination Framework for OCR Result Strings. |
| Record Nr. | UNINA-9910767537903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings / / edited by Georgy Gimel´farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings / / edited by Georgy Gimel´farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XVIII, 755 p. 236 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 |
| Soggetto genere / forma | Conference proceedings. |
| ISBN | 3-642-34166-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Estimation, Learning, and Adaptation: Systems That Improve with Use -- Optimization Techniques for Geometric Estimation: Beyond Minimization -- Hierarchical Compositional Representations of Object Structure -- Information Theoretic Prototype Selection for Unattributed Graphs -- Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance -- Mode Seeking Clustering by KNN and Mean Shift Evaluated -- Learning Sparse Kernel Classifiers in the Primal -- EvolutionaryWeighted Mean Based Framework for Generalized Median Computation with Application to Strings -- Graph Complexity from the Jensen-Shannon Divergence -- Complexity of Computing Distances between Geometric Trees -- Active Graph Matching Based on Pairwise Probabilities between Nodes -- On the Relation between the Common Labelling and the Median Graph -- A Hierarchical Image Segmentation Algorithm Based on an Observation Scale -- A Discrete Scale Space Neighborhood for Robust Deep Structure Extraction -- On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space -- Approximate Axial Symmetries from Continuous Time Quantum Walks -- A Clustering-Based Ensemble Technique for Shape Decomposition -- Laplacian Eigenimages in Discrete Scale Space -- A Relational Kernel-Based Framework for Hierarchical Image Understanding -- A Jensen-Shannon Kernel for Hypergraphs -- Heat Flow-Thermodynamic Depth Complexity in Directed Networks -- Shape Similarity Based on a Treelet Kernel with Edition -- 3D Shape Classification Using Commute Time -- Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection -- Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar -- A Comparison between Structural and Embedding Methods for Graph Classification -- Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique -- Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery -- Entropic Selection of Histogram Features for Efficient Classification -- 2D Shapes Classification Using BLAST -- A New Random Forest Method for One-Class Classification -- A New Index Based on Sparsity Measures for Comparing Fuzzy Partitions -- Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule -- The Dipping Phenomenon -- Colour Matching Function Learning -- Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis -- Out-of-Sample Embedding by Sparse Representation -- Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric -- Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization -- Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation -- Online Metric Learning Methods Using Soft Margins and Least Squares Formulations -- Shape Analysis Using the Edge-Based Laplacian -- One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices -- Estimating Surface Characteristics and Extracting Features from Polarisation -- Extended Fisher Criterion Based on Auto-correlation Matrix Information -- Poisoning Adaptive Biometric Systems -- Modified Divergences for Gaussian Densities -- Graph Database Retrieval Based on Metric-Trees -- Validation of Network Classifiers -- Alignment and Morphing for the Boundary Curves of Anatomical Organs -- Unsupervised Clustering of Human Pose Using Spectral Embedding -- Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features -- An Incremental Structured Part Model for Image Classification -- Top-Down Tracking and Estimating 3D Pose of a Die -- Large Scale Experiments on Fingerprint Liveness Detection -- Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications -- Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework -- Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images -- Compact Form of the Pseudo–inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM) -- A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA -- Support Vector Machines Training Data Selection Using a Genetic Algorithm -- A Unified View of Two-Dimensional Principal Component Analyses -- Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection -- Novel Gabor-PHOG Features for Object and Scene Image Classification -- Binary Gabor Statistical Features for Palmprint Template Protection -- Class-Dependent Dissimilarity Measures for Multiple Instance Learning -- Bidirectional Language Model for Handwriting Recognition -- Hypergraph Spectra for Unsupervised Feature Selection -- Feature Selection Using Counting Grids: Application to Microarray Data -- Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments -- Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression -- Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration -- A Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification -- A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset -- A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI -- A Comparative Analysis of Forgery Detection Algorithms -- Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients -- A Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers -- Analysis of Co-training Algorithm with Very Small Training Sets -- Classification of High-Dimension PDFs Using the Hungarian Algorithm -- Face Recognition Using Multilinear Manifold Analysis of Local Descriptors -- A Genetic Inspired Optimization for ECOC. |
| Record Nr. | UNISA-996465297803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings / / edited by Edwin R. Hancock, Richard C Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings / / edited by Edwin R. Hancock, Richard C Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XV, 758 p. 246 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Computer programming Application software Information storage and retrieval Database management Algorithms Artificial Intelligence Programming Techniques Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity |
| ISBN |
1-280-38826-9
9786613566188 3-642-14980-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- From Region Based Image Representation to Object Discovery and Recognition -- Learning on Manifolds -- Classification and Trees -- Structural Patterns in Complex Networks through Spectral Analysis -- Structural Descriptions -- Graph Embedding Using an Edge-Based Wave Kernel -- A Structured Learning Approach to Attributed Graph Embedding -- Machine Learning -- Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms -- Localized Projection Learning -- Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures -- Structural Learning -- Learning Graph Quantization -- High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs -- Dissimilarity-Based Multiple Instance Learning -- A Game Theoretic Approach to Learning Shape Categories and Contextual Similarities -- Poster Session -- A Comparison between Two Representatives of a Set of Graphs: Median vs. Barycenter Graph -- Impact of Visual Information on Text and Content Based Image Retrieval -- Automatic Traffic Monitoring from Satellite Images Using Artificial Immune System -- Graduated Assignment Algorithm for Finding the Common Labelling of a Set of Graphs -- Affinity Propagation for Class Exemplar Mining -- Guided Informative Image Partitioning -- Visual Alphabets on Different Levels of Abstraction for the Recognition of Deformable Objects -- Graph Embedding Based on Nodes Attributes Representatives and a Graph of Words Representation -- Extracting Plane Graphs from Images -- Indexing Tree and Subtree by Using a Structure Network -- Attributed Graph Matching for Image-Features Association Using SIFT Descriptors -- A Causal Extraction Scheme in Top-Down Pyramids for Large Images Segmentation -- Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems -- What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach -- New Partially Labelled Tree Similarity Measure: A Case Study -- Complete Search Space Exploration for SITG Inside Probability -- Commute-Time Convolution Kernels for Graph Clustering -- Geometric Methods -- Non-Euclidean Dissimilarities: Causes and Informativeness -- Non-parametric Mixture Models for Clustering -- Structural Methods for Vision -- A Probabilistic Approach to Spectral Unmixing -- A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching -- An Algorithm for Recovering Camouflage Errors on Moving People -- Clustering -- Semi-supervised Clustering Using Heterogeneous Dissimilarities -- On Consensus Clustering Validation -- Pairwise Probabilistic Clustering Using Evidence Accumulation -- Exploring the Performance Limit of Cluster Ensemble Techniques -- Contour Grouping by Clustering with Multi-feature Similarity Measure -- Poster Session -- A Psychophysical Evaluation of Texture Degradation Descriptors -- Content-Based Tile Retrieval System -- Performance Improvement in Multiple-Model Speech Recognizer under Noisy Environments -- On Feature Combination for Music Classification -- Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models -- Dynamic Linear Combination of Two-Class Classifiers -- Large-Scale Text to Image Retrieval Using a Bayesian K-Neighborhood Model -- Maximum a Posteriori Based Kernel Classifier Trained by Linear Programming -- Improvement of the Disc Harmonic Moments Descriptor by an Exponentially Decaying Distance Transform -- Feature Level Fusion of Face and Palmprint Biometrics -- Scale and Rotation Invariant Detection of Singular Patterns in Vector Flow Fields -- Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection -- Automatic Speech Segmentation Based on Acoustical Clustering -- An Efficient Iris and Eye Corners Extraction Method -- Dissimilarity-Based Methods -- An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces -- The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure -- Regularising the Ricci Flow Embedding -- Spherical Embedding and Classification -- Language -- Language Detection and Tracking in Multilingual Documents Using Weak Estimators -- Similarity Word-Sequence Kernels for Sentence Clustering -- Bayesian Adaptation for Statistical Machine Translation -- A Generative Score Space for Statistical Dialog Characterization in Social Signalling -- Multiple Classifiers -- A Modular Approach to Training Cascades of Boosted Ensembles -- A Linear Combination of Classifiers via Rank Margin Maximization -- Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve -- Graphs -- Ihara Coefficients: A Flexible Tool for Higher Order Learning -- A New Spectral Bound on the Clique Number of Graphs -- Large Sample Statistics in the Domain of Graphs -- Statistical Pattern Recognition -- Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization -- Interactive Image Retrieval Using Smoothed Nearest Neighbor Estimates -- Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition -- Structural Methods for OCR -- Efficient OCR Post-Processing Combining Language, Hypothesis and Error Models -- Rejection Threshold Estimation for an Unknown Language Model in an OCR Task -- A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR. |
| Record Nr. | UNISA-996465935903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings / / edited by Edwin R. Hancock, Richard C Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano
| Structural, Syntactic, and Statistical Pattern Recognition [[electronic resource] ] : Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings / / edited by Edwin R. Hancock, Richard C Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XV, 758 p. 246 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Computer programming Application software Information storage and retrieval Database management Algorithms Artificial Intelligence Programming Techniques Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Algorithm Analysis and Problem Complexity |
| ISBN |
1-280-38826-9
9786613566188 3-642-14980-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- From Region Based Image Representation to Object Discovery and Recognition -- Learning on Manifolds -- Classification and Trees -- Structural Patterns in Complex Networks through Spectral Analysis -- Structural Descriptions -- Graph Embedding Using an Edge-Based Wave Kernel -- A Structured Learning Approach to Attributed Graph Embedding -- Machine Learning -- Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms -- Localized Projection Learning -- Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures -- Structural Learning -- Learning Graph Quantization -- High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs -- Dissimilarity-Based Multiple Instance Learning -- A Game Theoretic Approach to Learning Shape Categories and Contextual Similarities -- Poster Session -- A Comparison between Two Representatives of a Set of Graphs: Median vs. Barycenter Graph -- Impact of Visual Information on Text and Content Based Image Retrieval -- Automatic Traffic Monitoring from Satellite Images Using Artificial Immune System -- Graduated Assignment Algorithm for Finding the Common Labelling of a Set of Graphs -- Affinity Propagation for Class Exemplar Mining -- Guided Informative Image Partitioning -- Visual Alphabets on Different Levels of Abstraction for the Recognition of Deformable Objects -- Graph Embedding Based on Nodes Attributes Representatives and a Graph of Words Representation -- Extracting Plane Graphs from Images -- Indexing Tree and Subtree by Using a Structure Network -- Attributed Graph Matching for Image-Features Association Using SIFT Descriptors -- A Causal Extraction Scheme in Top-Down Pyramids for Large Images Segmentation -- Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems -- What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach -- New Partially Labelled Tree Similarity Measure: A Case Study -- Complete Search Space Exploration for SITG Inside Probability -- Commute-Time Convolution Kernels for Graph Clustering -- Geometric Methods -- Non-Euclidean Dissimilarities: Causes and Informativeness -- Non-parametric Mixture Models for Clustering -- Structural Methods for Vision -- A Probabilistic Approach to Spectral Unmixing -- A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching -- An Algorithm for Recovering Camouflage Errors on Moving People -- Clustering -- Semi-supervised Clustering Using Heterogeneous Dissimilarities -- On Consensus Clustering Validation -- Pairwise Probabilistic Clustering Using Evidence Accumulation -- Exploring the Performance Limit of Cluster Ensemble Techniques -- Contour Grouping by Clustering with Multi-feature Similarity Measure -- Poster Session -- A Psychophysical Evaluation of Texture Degradation Descriptors -- Content-Based Tile Retrieval System -- Performance Improvement in Multiple-Model Speech Recognizer under Noisy Environments -- On Feature Combination for Music Classification -- Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models -- Dynamic Linear Combination of Two-Class Classifiers -- Large-Scale Text to Image Retrieval Using a Bayesian K-Neighborhood Model -- Maximum a Posteriori Based Kernel Classifier Trained by Linear Programming -- Improvement of the Disc Harmonic Moments Descriptor by an Exponentially Decaying Distance Transform -- Feature Level Fusion of Face and Palmprint Biometrics -- Scale and Rotation Invariant Detection of Singular Patterns in Vector Flow Fields -- Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection -- Automatic Speech Segmentation Based on Acoustical Clustering -- An Efficient Iris and Eye Corners Extraction Method -- Dissimilarity-Based Methods -- An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces -- The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure -- Regularising the Ricci Flow Embedding -- Spherical Embedding and Classification -- Language -- Language Detection and Tracking in Multilingual Documents Using Weak Estimators -- Similarity Word-Sequence Kernels for Sentence Clustering -- Bayesian Adaptation for Statistical Machine Translation -- A Generative Score Space for Statistical Dialog Characterization in Social Signalling -- Multiple Classifiers -- A Modular Approach to Training Cascades of Boosted Ensembles -- A Linear Combination of Classifiers via Rank Margin Maximization -- Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve -- Graphs -- Ihara Coefficients: A Flexible Tool for Higher Order Learning -- A New Spectral Bound on the Clique Number of Graphs -- Large Sample Statistics in the Domain of Graphs -- Statistical Pattern Recognition -- Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization -- Interactive Image Retrieval Using Smoothed Nearest Neighbor Estimates -- Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition -- Structural Methods for OCR -- Efficient OCR Post-Processing Combining Language, Hypothesis and Error Models -- Rejection Threshold Estimation for an Unknown Language Model in an OCR Task -- A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR. |
| Record Nr. | UNINA-9910484532903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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