Structural, syntactic, and statistical pattern recognition joint IAPR international workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010 : proceedings /

Annotation

Corporate Authors: International Workshop on Structural and Syntactic Pattern Recognition Çeşme, Turkey)
Other Authors: International Workshop on Structural and Syntactic Pattern Recognition, Hancock, Edwin R., SpringerLink (Online service), International Workshop on Statistical Techniques in Pattern Recognition
Format: eBook
Language: English
Published: Berlin : Springer, 2010.
Berlin : 2010.
Physical Description: 1 online resource (xv, 758 pages) : illustrations.
Series: Lecture notes in computer science ; 6218.
Subjects:
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111 2 |a International Workshop on Structural and Syntactic Pattern Recognition  |d (2010 :  |c Çeşme, Turkey) 
245 1 0 |a Structural, syntactic, and statistical pattern recognition :  |b joint IAPR international workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010 : proceedings /  |c Edwin R. Hancock [and others] (eds.). 
246 3 |a SSPR & SPR 2010. 
260 |a Berlin :  |b Springer,  |c 2010. 
264 1 |a Berlin :  |b Springer,  |c 2010. 
300 |a 1 online resource (xv, 758 pages) :  |b illustrations. 
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490 1 |a Lecture notes in computer science,  |x 0302-9743 ;  |v 6218. 
504 |a Includes bibliographical references. 
520 8 |a Annotation  |b This volume constitutes the refereed proceedings of the Joint IAPR International Workshop, SSPR & SPR 2010, held in Cesme, Izmir, Turkey, in August 2010. 
588 0 |a Print version record. 
505 0 |a 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. 
650 0 |a Pattern perception  |v Congresses. 
650 6 |a Perception des structures  |v Congrès. 
650 7 |a Informatique.  |2 eclas. 
650 7 |a Pattern perception.  |2 fast. 
650 7 |a Mustererkennung.  |2 gnd. 
651 7 |a Çeşme <2010>.  |2 swd. 
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655 7 |a Conference papers and proceedings.  |2 fast. 
655 7 |a Conference papers and proceedings.  |2 lcgft. 
655 7 |a Actes de congrès.  |2 rvmgf. 
700 1 |a Hancock, Edwin R. 
710 2 |a SpringerLink (Online service) 
711 2 |a International Workshop on Statistical Techniques in Pattern Recognition  |d (2010 :  |c Çeşme, Turkey) 
776 0 8 |i Print version:  |t Structural, syntactic, and statistical pattern recognition.  |d Berlin : Springer, 2010  |z 9783642149795  |w (OCoLC)656350482. 
830 0 |a Lecture notes in computer science ;  |v 6218. 
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