Structural, Syntactic, and Statistical Pattern Recognition 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.

This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the Internation...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hancock, Edwin R. (Editor), Wilson, Richard C. (Editor), Windeatt, Terry (Editor), Ulusoy, Ilkay (Editor), Escolano, Francisco (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 6218
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Table of Contents:
  • 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.