Structural, Syntactic, and Statistical Pattern Recognition - nieuw boek

EAN (ISBN-13): 9783642149801
Verschijningsjaar: 2010
Uitgever: Springer Berlin Heidelberg

Boek bevindt zich in het datenbestand sinds 2017-01-13T12:06:31+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2021-03-12T13:41:58+01:00 (Amsterdam)
ISBN/EAN: 9783642149801

ISBN - alternatieve schrijfwijzen:
978-3-642-14980-1
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: windeatt
Titel van het boek: structural pattern recognition

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Gegevens van de uitgever

Auteur: Edwin R. Hancock; Richard C Wilson; Terry Windeatt; Ilkay Ulusoy; Francisco Escolano
Titel: Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings
Uitgeverij: Springer; Springer Berlin
758 Bladzijden
Verschijningsjaar: 2010-08-28
Berlin; Heidelberg; DE
Taal: Engels
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XV, 758 p. 246 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Hidden Markov Model; Kernel; algorithms; classification; clustering; complexity; data mining; information retrieval; learning; machine learning; optical character recognition (OCR); optimization; pattern recognition; search algorithm; statistics; algorithm analysis and problem complexity; C; Artificial Intelligence; Programming Techniques; Computer and Information Systems Applications; Information Storage and Retrieval; Database Management; Algorithms; Computer Science; Computerprogrammierung und Softwareentwicklung; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; Algorithmen und Datenstrukturen; BC

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.
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