Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 Sao Paulo, Brazil, November 8-11, 2010 Proceedings

Bloch, Isabelle (EDT); Cesar, Roberto M., Jr. (EDT)

ISBN 10: 3642166865 / ISBN 13: 9783642166860

Editore: Springer, 2010

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Dati bibliografici

• Titolo: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 Sao Paulo, Brazil, November 8-11, 2010 Proceedings
• Editore: Springer
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642166865
• ISBN 13: 9783642166860
• Rilegatura: Brossura
• Condizione: As New

Descrizione articolo

Riassunto

Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world with the aim of promoting and disseminating - going research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, data mining, document analysis,and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in pattern recognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for pattern recognition in the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR).

Contenuti

Invited Talks.- Recent Advances in Kernel Machines.- Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis.- Vision-Based Control of Robot Motion.- Soft Computing, f-Granulation and Pattern Recognition.- Computational Illumination.- Color, Shape and Texture.- Color Texture Analysis and Classification: An Agent Approach Based on Partially Self-avoiding Deterministic Walks.- Characterizing 3D Shapes Using Fractal Dimension.- Multiresolution Histogram Analysis for Color Reduction.- Graphs and Hypergraphs.- Graph of Words Embedding for Molecular Structure-Activity Relationship Analysis.- A Hypergraph Reduction Algorithm for Joint Segmentation and Classification of Satellite Image Content.- A Static Video Summarization Method Based on Hierarchical Clustering.- Biomedical Imaging.- Histopathological Image Classification Using Stain Component Features on a pLSA Model.- Modified Expectation Maximization Algorithm for MRI Segmentation.- Generation of Synthetic Multifractal Realistic Surfaces Based on Natural Model and Lognormal Cascade: Application to MRI Classification.- Retrieval, Mining and Learning.- Content-Based Emblem Retrieval Using Zernike Moments.- A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls.- A Hybrid Face Recognition Approach Using GPUMLib.- Learning, Recognition and Clustering.- Self-training for Handwritten Text Line Recognition.- Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection.- Background Division, A Suitable Technique for Moving Object Detection.- Bayesian and Statistical Methods.- Concept Formation Using Incremental Gaussian Mixture Models.- Integrating Phonological Knowledge in ASR Systems for Spanish Language.- Inference of Restricted Stochastic Boolean GRN’s by Bayesian Error and Entropy Based Criteria.- Coding and Compression, Video, Tracking.- Grid Smoothing: A Graph-Based Approach.- A Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms.- Comments on Matrix-Based Secret Sharing Scheme for Images.- A Very Low Bit-Rate Minimalist Video Encoder Based on Matching Pursuits.- An Unified Transition Detection Based on Bipartite Graph Matching Approach.- A New Dissimilarity Measure for Trajectories with Applications in Anomaly Detection.- Modelling Postures of Human Movements.- Detection and Tracking of Driver’s Hands in Real Time.- Speech, Natural Language, Document.- Speaker Verification in Noisy Environment Using Missing Feature Approach.- Fast k-NN Classifier for Documents Based on a Graph Structure.- Comparative Analysis between Wavelets for the Identification of Pathological Voices.- Comparison of HMM and DTW for Isolated Word Recognition System of Punjabi Language.- A Combination of Classifiers for the Pronominal Anaphora Resolution in Basque.- Text Segmentation by Clustering Cohesion.- Multiple Clues for License Plate Detection and Recognition.- Image Filtering and Segmentation.- Non Local Image Denoising Using Image Adapted Neighborhoods.- A Quantitative Evaluation of Fixed-Pattern Noise Reduction Methods in Imaging Systems.- Vessel Centerline Tracking in CTA and MRA Images Using Hough Transform.- Automatic Image Segmentation Optimized by Bilateral Filtering.- Pansharpening of High and Medium Resolution Satellite Images Using Bilateral Filtering.- Color Image Segmentation by Means of a Similarity Function.- Image Segmentation Using Quadtree-Based Similarity Graph and Normalized Cut.- A Genetic-Algorithm-Based Fusion System Optimization for 3D Image Interpretation.- Feature Extraction, Shape, Texture, Geometry and Morphology.- Quaternion Atomic Function Wavelet for Applications in Image Processing.- A Complex Network-Based Approach for Texture Analysis.- Enhancing Gabor Wavelets Using Volumetric Fractal Dimension.- Comparison of Shape Descriptors for Mice Behavior Recognition.- Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures.- Parameter Estimation for Ridge Detection in Images with Thin Structures.- Experimental Comparison of Orthogonal Moments as Feature Extraction Methods for Character Recognition.- Face Segmentation and Recognition, Biometry.- Improving Face Segmentation in Thermograms Using Image Signatures.- On Combining Local DCT with Preprocessing Sequence for Face Recognition under Varying Lighting Conditions.- On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure.- A Rotation Invariant Face Recognition Method Based on Complex Network.- Illumination Invariant Face Image Representation Using Quaternions.- A Contrario Detection of False Matches in Iris Recognition.- Statistical Approaches, Learning, Classification, Mining.- A Functional Density-Based Nonparametric Approach for Statistical Calibration.- Feature Extraction Using Circular Statistics Applied to Volcano Monitoring.- Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets.- Assessment of a Modified Version of the EM Algorithm for Remote Sensing Data Classification.- A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine.- Aerosol Optical Thickness Retrieval from Satellite Observation Using Support Vector Regression.- An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis.- Multi-Objective Semi-Supervised Feature Selection and Model Selection Based on Pearson’s Correlation Coefficient.- Introducing ROC Curves as Error Measure Functions: A New Approach to Train ANN-Based Biomedical Data Classifiers.- Partition Selection Approach for Hierarchical Clustering Based on Clustering Ensemble.- The Imbalanced Problem in Morphological Galaxy Classification.- Exploiting Contextual Information for Image Re-ranking.- Assessing the Role of Spatial Relations for the Object Recognition Task.- Automatic Representation of Semantic Abstraction of Geographical Data by Means of Classification.