Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 | ||
| ||
Multiple classifier systems : 7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings / / Michal Haindl, Josef Kittler, Fabio Roli (editors)
| Multiple classifier systems : 7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings / / Michal Haindl, Josef Kittler, Fabio Roli (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (534 p.) |
| Disciplina | 006.31 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Machine learning |
| ISBN |
1-280-94918-X
9786610949182 3-540-72523-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Kernel-Based Fusion -- Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion -- The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition -- Kernel Combination Versus Classifier Combination -- Deriving the Kernel from Training Data -- Applications -- On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data -- A New HMM-Based Ensemble Generation Method for Numeral Recognition -- Classifiers Fusion in Recognition of Wheat Varieties -- Multiple Classifier Methods for Offline Handwritten Text Line Recognition -- Applying Data Fusion Methods to Passage Retrieval in QAS -- A Co-training Approach for Time Series Prediction with Missing Data -- An Improved Random Subspace Method and Its Application to EEG Signal Classification -- Ensemble Learning Methods for Classifying EEG Signals -- Confidence Based Gating of Colour Features for Face Authentication -- View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition -- Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification -- Serial Fusion of Fingerprint and Face Matchers -- Boosting -- Boosting Lite – Handling Larger Datasets and Slower Base Classifiers -- Information Theoretic Combination of Classifiers with Application to AdaBoost -- Interactive Boosting for Image Classification -- Cluster and Graph Ensembles -- Group-Induced Vector Spaces -- Selecting Diversifying Heuristics for Cluster Ensembles -- Unsupervised Texture Segmentation Using Multiple Segmenters Strategy -- Classifier Ensembles for Vector Space Embedding of Graphs -- Cascading for Nominal Data -- Feature Subspace Ensembles -- A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers -- Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features -- Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection -- Stopping Criteria for Ensemble-Based Feature Selection -- Multiple Classifier System Theory -- On Rejecting Unreliably Classified Patterns -- Bayesian Analysis of Linear Combiners -- Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination -- Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks -- Classifier Combining Rules Under Independence Assumptions -- Embedding Reject Option in ECOC Through LDPC Codes -- Intramodal and Multimodal Fusion of Biometric Experts -- On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers -- Index Driven Combination of Multiple Biometric Experts for AUC Maximisation -- Q???stack: Uni- and Multimodal Classifier Stacking with Quality Measures -- Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication -- Optimal Classifier Combination Rules for Verification and Identification Systems -- Majority Voting -- Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets -- On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles -- Hierarchical Behavior Knowledge Space -- Ensemble Learning -- A New Dynamic Ensemble Selection Method for Numeral Recognition -- Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation -- Naïve Bayes Ensembles with a Random Oracle -- An Experimental Study on Rotation Forest Ensembles -- Cooperative Coevolutionary Ensemble Learning -- Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data -- An Ensemble Approach for Incremental Learning in Nonstationary Environments -- Invited Papers -- Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments -- Biometric Person Authentication Is a Multiple Classifier Problem. |
| Record Nr. | UNINA-9910483577703321 |
| Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple classifier systems : 7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings / / Michal Haindl, Josef Kittler, Fabio Roli (editors)
| Multiple classifier systems : 7th international workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007 : proceedings / / Michal Haindl, Josef Kittler, Fabio Roli (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (534 p.) |
| Disciplina | 006.31 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Machine learning |
| ISBN |
1-280-94918-X
9786610949182 3-540-72523-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Kernel-Based Fusion -- Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion -- The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition -- Kernel Combination Versus Classifier Combination -- Deriving the Kernel from Training Data -- Applications -- On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data -- A New HMM-Based Ensemble Generation Method for Numeral Recognition -- Classifiers Fusion in Recognition of Wheat Varieties -- Multiple Classifier Methods for Offline Handwritten Text Line Recognition -- Applying Data Fusion Methods to Passage Retrieval in QAS -- A Co-training Approach for Time Series Prediction with Missing Data -- An Improved Random Subspace Method and Its Application to EEG Signal Classification -- Ensemble Learning Methods for Classifying EEG Signals -- Confidence Based Gating of Colour Features for Face Authentication -- View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition -- Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification -- Serial Fusion of Fingerprint and Face Matchers -- Boosting -- Boosting Lite – Handling Larger Datasets and Slower Base Classifiers -- Information Theoretic Combination of Classifiers with Application to AdaBoost -- Interactive Boosting for Image Classification -- Cluster and Graph Ensembles -- Group-Induced Vector Spaces -- Selecting Diversifying Heuristics for Cluster Ensembles -- Unsupervised Texture Segmentation Using Multiple Segmenters Strategy -- Classifier Ensembles for Vector Space Embedding of Graphs -- Cascading for Nominal Data -- Feature Subspace Ensembles -- A Combination of Sample Subsets and Feature Subsets in One-Against-Other Classifiers -- Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features -- Feature Subspace Ensembles: A Parallel Classifier Combination Scheme Using Feature Selection -- Stopping Criteria for Ensemble-Based Feature Selection -- Multiple Classifier System Theory -- On Rejecting Unreliably Classified Patterns -- Bayesian Analysis of Linear Combiners -- Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination -- Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks -- Classifier Combining Rules Under Independence Assumptions -- Embedding Reject Option in ECOC Through LDPC Codes -- Intramodal and Multimodal Fusion of Biometric Experts -- On Combination of Face Authentication Experts by a Mixture of Quality Dependent Fusion Classifiers -- Index Driven Combination of Multiple Biometric Experts for AUC Maximisation -- Q???stack: Uni- and Multimodal Classifier Stacking with Quality Measures -- Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication -- Optimal Classifier Combination Rules for Verification and Identification Systems -- Majority Voting -- Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets -- On the Diversity-Performance Relationship for Majority Voting in Classifier Ensembles -- Hierarchical Behavior Knowledge Space -- Ensemble Learning -- A New Dynamic Ensemble Selection Method for Numeral Recognition -- Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation -- Naïve Bayes Ensembles with a Random Oracle -- An Experimental Study on Rotation Forest Ensembles -- Cooperative Coevolutionary Ensemble Learning -- Robust Inference in Bayesian Networks with Application to Gene Expression Temporal Data -- An Ensemble Approach for Incremental Learning in Nonstationary Environments -- Invited Papers -- Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments -- Biometric Person Authentication Is a Multiple Classifier Problem. |
| Record Nr. | UNISA-996466261203316 |
| Berlin ; ; Heidelberg ; ; New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multiple classifier systems : 8th international workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009: proceedings / / Jon Atli Benediktsson, Josef Kittler, Fabio Rolio (eds.)
| Multiple classifier systems : 8th international workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009: proceedings / / Jon Atli Benediktsson, Josef Kittler, Fabio Rolio (eds.) |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2007 |
| Descrizione fisica | 1 online resource (XI, 540 p.) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
Jon Atli Benediktsson
KittlerJosef <1946-> RoliFabio <1962-> |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Machine learning
Neural networks (Computer science) Pattern perception |
| ISBN | 3-642-02326-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ECOC, Boosting and Bagging -- The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles -- Recoding Error-Correcting Output Codes -- Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting -- Multi-class Boosting with Class Hierarchies -- MCS in Remote Sensing -- Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis -- Multiple Classifier Combination for Hyperspectral Remote Sensing Image Classification -- Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data -- Unbalanced Data and Decision Templates -- Optimal Mean-Precision Classifier -- A Multiple Expert Approach to the Class Imbalance Problem Using Inverse Random under Sampling -- Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion -- Stacked Generalization and Active Learning -- Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors -- Regularized Linear Models in Stacked Generalization -- Active Grading Ensembles for Learning Visual Quality Control from Multiple Humans -- Multiple Classifier Systems for Adversarial Classification Tasks -- Concept Drift, Missing Values and Random Forest -- Incremental Learning of Variable Rate Concept Drift -- Semi-supervised Co-update of Multiple Matchers -- Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method -- Influence of Hyperparameters on Random Forest Accuracy -- SVM Ensembles -- Ensembles of One Class Support Vector Machines -- Disturbing Neighbors Ensembles for Linear SVM -- Fusion of Graphs, Concepts and Categorical Data -- A Labelled Graph Based Multiple Classifier System -- Cluster Ensembles Based on Vector Space Embeddings of Graphs -- Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data -- True Path Rule Hierarchical Ensembles -- Clustering -- A Study of Semi-supervised Generative Ensembles -- Hierarchical Ensemble Support Cluster Machine -- Multi-scale Stacked Sequential Learning -- Unsupervised Hierarchical Weighted Multi-segmenter -- Ant Clustering Using Ensembles of Partitions -- Classifier and Feature Selection -- Selective Ensemble under Regularization Framework -- Criteria Ensembles in Feature Selection -- Network Protocol Verification by a Classifier Selection Ensemble -- Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels -- Theory of MCS -- Improved Uniformity Enforcement in Stochastic Discrimination -- An Information Theoretic Perspective on Multiple Classifier Systems -- Constraints in Weighted Averaging -- FaSS: Ensembles for Stable Learners -- MCS Methods and Applications -- Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data -- Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation -- Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image -- Target Identification from High Resolution Remote Sensing Image by Combining Multiple Classifiers -- Neural Network Optimization for Combinations in Identification Systems -- MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction -- Diversity-Based Classifier Selection for Adaptive Object Tracking -- Ensemble Based Data Fusion for Gene Function Prediction -- A Cascade Multiple Classifier System for Document Categorization -- Maximum Membership Scale Selection -- An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets -- A Study of Random Linear Oracle Ensembles -- Stacking for Ensembles of Local Experts in Metabonomic Applications -- Boosting Support Vector Machines Successfully -- Invited Papers -- Manifold Learning for Multi-classifier Systems via Ensembles -- When Semi-supervised Learning Meets Ensemble Learning. |
| Altri titoli varianti | MCS 2007 |
| Record Nr. | UNINA-9910483351103321 |
| Berlin ; ; New York, : Springer, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in pattern recognition, image analysis and applications : 12th iberoamerican congress on pattern recognition, ciarp 2007,valpariso, chile, november 13-16, 2007, proceedings / / edited by Luis Rueda, Domingo Mery, Josef Kittler
| Progress in pattern recognition, image analysis and applications : 12th iberoamerican congress on pattern recognition, ciarp 2007,valpariso, chile, november 13-16, 2007, proceedings / / edited by Luis Rueda, Domingo Mery, Josef Kittler |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XXI, 972 p.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Optical pattern recognition Artificial intelligence |
| ISBN | 3-540-76725-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Lectures -- Signal Processing and Analysis -- Image Coding, Processing and Analysis -- Shape and Texture Analysis -- Computer Vision -- Pattern Recognition Principles -- Artificial Intelligence Techniques and Recognition -- Logical Combinatorial Pattern Recognition -- Neural Networks -- Kernel Machines -- Bioinformatics -- Data Mining -- Natural Language Processing and Recognition -- Industrial and Medical Applications of Pattern Recognition -- Robotics and Remote Sensing Applications of Pattern Recognition -- Document Processing and Recognition -- Fuzzy and Hybrid Techniques in Pattern Recognition. |
| Record Nr. | UNINA-9910483757203321 |
| Berlin, Germany : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Progress in pattern recognition, image analysis and applications : 12th iberoamerican congress on pattern recognition, ciarp 2007,valpariso, chile, november 13-16, 2007, proceedings / / edited by Luis Rueda, Domingo Mery, Josef Kittler
| Progress in pattern recognition, image analysis and applications : 12th iberoamerican congress on pattern recognition, ciarp 2007,valpariso, chile, november 13-16, 2007, proceedings / / edited by Luis Rueda, Domingo Mery, Josef Kittler |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XXI, 972 p.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Optical pattern recognition Artificial intelligence |
| ISBN | 3-540-76725-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Lectures -- Signal Processing and Analysis -- Image Coding, Processing and Analysis -- Shape and Texture Analysis -- Computer Vision -- Pattern Recognition Principles -- Artificial Intelligence Techniques and Recognition -- Logical Combinatorial Pattern Recognition -- Neural Networks -- Kernel Machines -- Bioinformatics -- Data Mining -- Natural Language Processing and Recognition -- Industrial and Medical Applications of Pattern Recognition -- Robotics and Remote Sensing Applications of Pattern Recognition -- Document Processing and Recognition -- Fuzzy and Hybrid Techniques in Pattern Recognition. |
| Record Nr. | UNISA-996465478603316 |
| Berlin, Germany : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Progress in pattern recognition, image analysis and applications : 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006 : proceedings / / Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco Ochoa, Josef Kittler (eds.)
| Progress in pattern recognition, image analysis and applications : 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006 : proceedings / / Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco Ochoa, Josef Kittler (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2006 |
| Descrizione fisica | 1 online resource (XIX, 995 p.) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
Martinez TrinidadJose Francisco
Carrasco OchoaJesus Ariel KittlerJosef <1946-> |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
| Soggetto topico |
Pattern recognition systems
Image processing |
| ISBN | 3-540-46557-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Skeletonization of Digital Objects -- Maximin Initialization for Cluster Analysis -- Case-Based Object Recognition with Application to Biological Images -- A New Method of Illumination Normalization for Robust Face Recognition -- A Fast Method for Localization of Local Illumination Variations and Photometric Normalization in Face Images -- Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models -- Gender Classification of Faces Using Adaboost -- General Pose Face Recognition Using Frontal Face Model -- Approximating 3D Facial Shape from Photographs Using Coupled Statistical Models -- A Comparative Study of Face Representations in the Frequency Domain -- Face Recognition with Region Division and Spin Images -- Extraction of Blood Vessels in Ophthalmic Color Images of Human Retinas -- A Fast Adaboosting Based Method for Iris and Pupil Contour Detection -- In-Vivo IVUS Tissue Classification: A Comparison Between RF Signal Analysis and Reconstructed Images -- Smoothing Segmented Lung Boundary in Chest CT Images Using Scan Line Search -- Automated Ultrasonic Measurement of Fetal Nuchal Translucency Using Dynamic Programming -- A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures -- Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions -- A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment -- From Lossy to Lossless Wavelet Image Coding in a Tree-Based Encoder with Resolution Scalability -- 3D Mumford-Shah Based Active Mesh -- Fast 2D-3D Point-Based Registration Using GPU-Based Preprocessing for Image-Guided Surgery -- GA–SSD–ARC–NLM for Parametric Image Registration -- Eigenconjugation: An Approach for Computing Image Similarity -- Image Contrast Enhancement Based on Block-Wise Intensity-Pair Distribution with Two Expansion Forces -- Guiding a Bottom-Up Visual Attention Mechanism to Locate Specific Image Regions Using a Distributed Genetic Optimization -- ORIENT-CAM, A Camera That Knows Its Orientation and Some Applications -- Irregular Pyramid Segmentations with Stochastic Graph Decimation Strategies -- Color Texture Segmentation by Decomposition of Gaussian Mixture Model -- Texture Features and Segmentation Based on Multifractal Approach -- Object Segmentation Using Growing Neural Gas and Generalized Gradient Vector Flow in the Geometric Algebra Framework -- A Clustering Based Approach for Automatic Image Segmentation: An Application to Biplane Ventriculograms -- An Image Segmentation Algorithm Using Iteratively the Mean Shift -- A Robust Region Based Level Set Framework for Medical Image Segmentation -- Color Texture Segmentation Based on Quaternion-Gabor Features -- Corner Detection by Searching Two Class Pattern Substrings -- Model-Based Localization Method by Non-speech Sound Via Wavelet Transform and Dynamic Neural Network -- An Application of Neural Networks for Image Reconstruction in Electrical Capacitance Tomography Applied to Oil Industry -- Combining Neural Networks for Gait Classification -- Training of Multilayer Perceptron Neural Networks by Using Cellular Genetic Algorithms -- Combining Neural Networks and Clustering Techniques for Object Recognition in Indoor Video Sequences -- Evaluation of Time and Frequency Domain-Based Methods for the Estimation of Harmonics-to-Noise-Ratios in Voice Signals -- A Combined Classifier of Cry Units with New Acoustic Attributes -- Practical Considerations for Real-Time Implementation of Speech-Based Gender Detection -- On the Processing of Fuzzy Patterns for Text Independent Phonetic Speech Segmentation -- A RLS Filter for Nonuniformity and Ghosting Correction of Infrared Image Sequences -- Correlation Filters for Detection and Localization of Objects in Degraded Images -- Statistical Recursive Filtering Estimation of Detector Offset Nonuniformity in Infrared Imaging Systems -- 3D Vector Directional Filters to Process Video Sequences -- Object Recognition and Tracking in Video Sequences: A New Integrated Methodology -- Conceptual K-Means Algorithm Based on Complex Features -- Spatial Data Description by Means of Knowledge-Based System -- Search Method of Time Sensitive Frequent Itemsets in Data Streams -- Image Compression Algorithm Based on Morphological Associative Memories -- A Novel Approach to Automatic Color Matching -- The Associative Recall of Spatial Correlated Patterns -- Associative Memories Applied to Image Categorization -- Robustness Analysis of the Neural Gas Learning Algorithm -- Feature Selection Based on Mutual Correlation -- Oscillating Feature Subset Search Algorithm for Text Categorization -- Two Step Ant Colony System to Solve the Feature Selection Problem -- Simultaneous Features and Objects Selection for Mixed and Incomplete Data -- Selecting Objects for ALVOT -- Feature Extraction Using Clustering of Protein -- A Theoretical Comparison of Two Linear Dimensionality Reduction Techniques -- A New Approach to Multi-class Linear Dimensionality Reduction -- Automatic Band Selection in Multispectral Images Using Mutual Information-Based Clustering -- Orientation Invariant Features for Multiclass Object Recognition -- On the Design and Implementation of a High Performance Configurable Architecture for Testor Identification -- Proposal for a Unified Methodology for Evaluating Supervised and Non-supervised Classification Algorithms -- Monte Carlo Evaluation of the Hausdorff Distance for Shape Matching -- A Fast Probabilistic Model for Hypothesis Rejection in SIFT-Based Object Recognition -- Diagnosis of Chronic Idiopathic Inflammatory Bowel Disease Using Bayesian Networks -- Learning Variability of Image Feature Appearance Using Statistical Methods -- Probabilistic Shot Boundary Detection Using Interframe Histogram Differences -- A Probabilistic Approach to Build 2D Line Based Maps from Laser Scans in Indoor Environments -- Egomotion Estimation as an Appearance-Based Classification Problem -- Decoding of Ternary Error Correcting Output Codes -- Context-Based Gesture Recognition -- Spectral Median Graphs Applied to Graphical Symbol Recognition -- Deterministic Tourist Walks as an Image Analysis Methodology Based -- Approaches to Classification of Multichannel Images -- Fast Fingerprint Matching Based on the Novel Structure Combining the Singular Point with Its Neighborhood Minutiae -- A New Nearest Neighbor Rule for Text Categorization -- Alignment of Paragraphs in Bilingual Texts Using Bilingual Dictionaries and Dynamic Programming -- Document Mining Based on Semantic Understanding of Text -- Authorship Attribution Using Word Sequences -- Document Representation Based on Maximal Frequent Sequence Sets -- Building an Optimal WSD Ensemble Using Per-Word Selection of Best System -- Pixel-Wise Histograms for Visual Segment Description and Applications -- eVLBI Development in TIGO -- Satellite Tracks Removal in Astronomical Images -- Detection of Coding Regions in Large DNA Sequences Using the Short Time Fourier Transform with Reduced Computational Load -- Time Series Pattern Recognition Based on MAP Transform and Local Trend Associations -- System Classification by Using Discriminant Functions of Time-Frequency Features -- Gabor Kernels for Textured Image Representation and Classification -- Local Linear Approximation for Kernel Methods: The Railway Kernel -- Fusion of Gaussian Kernels Within Support Vector Classification -- Support Vector Machine with External Recurrences for Modeling Dynamic Cerebral Autoregulation -- An Approach to Automatic Target Recognition in Radar Images Using SVM -- Analysis of Algebraic Expressions Derived from Genetic Multivariate Polynomials and Support Vector Machines: A Case Study -- Image Compression by a Time Enhanced Self Organizing Map. |
| Altri titoli varianti |
11th Iberoamerican Congress in Pattern Recognition
Iberoamerican Congress in Pattern Recognition Eleventh Iberoamerican Congress in Pattern Recognition CIARP 2006 |
| Record Nr. | UNINA-9910484440003321 |
| Berlin ; ; New York, : Springer, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||