| Description |
1 online resource (xiv, 352 pages) : illustrations |
| Series |
Lecture notes in computer science, 1611-3349 ; 6718 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 6718. 0302-9743
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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| Contents |
Intro -- Title -- Preface -- Organization -- Table of Contents -- Kenote Addresses -- Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry -- Introduction -- Resilient Subclass Discriminant Analysis: Clustering -- RSDA Computational Procedure -- Computational Complexity -- Comparison with Other GMM Parameterization Models -- Segmentation of the PLTF from Narrowband Interferometry -- Final Comments -- References -- Context Sensitive Information: Model Validation by Information Theory -- Introduction -- Statistical Learning for Pattern Recognition -- Empirical Risk Approximation -- Generalization and the Two Instance Scenario -- Coding by Approximation -- Error Analysis of Approximation Set Coding -- Information Theoretical Model Selection -- Conclusion -- References -- Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition -- Introduction -- Basic Concepts -- A Short Introduction to Evolutionary Algorithms -- Multi-Objective Evolutionary Algorithms -- Some Applications in Pattern Recognition -- Potential Areas for Further Research -- Conclusions -- References -- Pattern Recognition and Data Mining -- Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem -- Introduction -- Methods -- Optimizing the Computation of Geodesic Distances -- Dimensionality Reduction and Classification: ISOMAP and LDA -- Materials: SV-1H-MRS Brain Tumour Database -- Results and Discussion -- Conclusion -- References -- Efficient Group of Permutants for Proximity Searching -- Introduction -- Basic Concepts and Related Work -- Our Proposal -- Proximity to a Group -- Selecting Good Permutants per Group -- Experimental Section -- Synthetic Databases -- Real Databases -- Conclusions and Future Work -- References |
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Solving 3-Colouring via 2SAT -- Introduction -- Related Work -- Preliminaries -- A Heuristic for Building Proper 3-Colourings -- Example: Generalized Petersen Graphs -- Applying the Heuristic on the Petersen Graph -- Algorithm's Time-Complexity -- Conclusions -- References -- Classifier Selection by Clustering -- Introduction -- Related Work -- Proposed Framework -- Experimental Results -- Conclusion and Future Works -- References -- Ensemble of Classifiers Based on Hard Instances -- Introduction -- Ensemble of Classifiers Using a Meta-classifier by Clusters of Hard Instances -- Topology -- Combining Outputs -- Result and Discussion -- Conclusions -- References -- Scalable Pattern Search Analysis -- Introduction -- K Nearest References -- Describing Existing Proximity Indexes Using ̀3́9̀42̀"̇613À̀45̀47̀"603AKNR -- Using the ̀3́9̀42̀"̇613À̀45̀47̀"603AKNR Framework to Create Proximity Indexes -- Experimental Results -- Recall of the Indexes -- Increasing Recall Using Several ̀3́9̀42̀"̇613À̀45̀47̀"603AKNR Indexes -- Improvements Using K and Variations -- Conclusions and Future Work -- References -- Application of Pattern Recognition Techniques to Hydrogeological Modeling of Mature Oilfields -- Introduction -- Multivariate Statistical and Pattern Recognition Techniques for Hydrogeological Modeling -- Application of Pattern Recognition Techniques to the Oilfield Data -- Cluster Analysis of Physic-chemical Water Properties for Aquifer Identification -- Pattern Recognition of Basic WOR Signatures for Water Breakthrough Mechanism Identification -- Conclusions -- References -- On Trend Association Analysis of Time Series of Atmospheric Pollutants and Meteorological Variables in Mexico City Metropolitan Area -- Introduction -- Data Used for Analysis -- Basic Notions of MAP Transform and Trend Associations -- Results and Discussion -- Conclusions |
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Image Acquisition -- Image Binarization -- Feature Extraction -- Feature Selection -- Digit Recognition -- Results -- Conclusion -- References -- A Hybrid Approach for Pap-Smear Cell Nucleus Extraction -- Introduction -- Hierarchy of Partitions of Pap-Smear Cell Images -- Pap-Smear Cell Images Segmentation and Classification -- Segmentation Level Selection -- SVM Region Classification and Merging -- Results and Discussion -- Conclusions -- References -- Image Processing -- Segmentation of Noisy Images Using the Rank M-Type L-Filter and the Fuzzy C-Means Clustering Algorithm -- Introduction -- Proposed Method -- RM-Estimator -- RML- Estimator -- Classic Fuzzy C-Means Clustering -- Experimental Results -- Results on a Synthetic Image -- Results on a Real Image -- Discussion of Results -- Conclusions -- References -- Design of Correlation Filters for Pattern Recognition Using a Noisy Training Image -- Introduction -- Design of Filters -- Computer Simulations -- Conclusions -- References -- Image Fusion Algorithm Using the Multiresolution Directional-Oriented Hermite Transform -- Introduction -- The Hermite Transform (HT) -- The Steered HT -- The Multiresolution Directional-Oriented HT -- Proposed Image Fusion Algorithm -- The Fusion Rule -- Experiments and Results -- Conclusions -- References -- Normalized Cut Based Edge Detection -- Normalized Cut -- Calculating the Optimal Partition -- Power Method -- Weight Function and Segmentation -- Edge Detection -- Simplifying the Method -- Conclusions -- References -- Homogeneity Cues for Texel Size Estimation of Periodic and Near-Periodic Textures -- Introduction -- Texel Size Estimation Using Homogeneity Cues -- Experiments and Results -- Texel Size Estimation of a Corrupted Regular Pattern -- Texel Size Estimation of Natural Images -- Computation Time Evaluation -- Summary and Conclusions -- References |
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Adaptive Thresholding Methods for Documents Image Binarization -- Introduction -- The State of Art -- Niblack's Method -- Sauvola's Method -- Nick Method -- The Proposed Method -- The Experiments and Results -- Conclusion -- References -- Foveated ROI Compression with Hierarchical Trees for Real-Time Video Transmission -- Introduction -- Previous Works -- Video Compression -- Foveated Compression -- SPIHT -- Proposed Approach -- Fovea Hierarchical Trees -- Results -- Conclusions and Future Work -- References -- Neural Networks and Signal Processing -- Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems -- Introduction -- Background and Related Work -- Solution Model -- Problem State Representation -- Variable Ordering Heuristics -- The Training Set -- Neural Networks to Represent Hyper-heuristics -- Experiments and Results -- Conclusions and Future Work -- References -- Microcalcifications Detection Using PFCM and ANN -- Introduction -- ROI Selection -- Detection of Microcalcifications -- Enhancement of Microcalcifications -- Segmentation of Microcalcifications by PFCM -- Classification of Microcalcifications -- Feature Extraction -- Classification of Microcalcifications by ANN -- Methodology and Results -- Conclusions -- References -- Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors -- Introduction -- Description of Dependent and Independent Variables -- Criterion for Accuracy Evaluation -- Related Work -- Experimental Design -- Description of Estimation Models -- Statistical Regression Model -- General Regression Neural Network -- Analysis -- Verification of Models -- Validation of Models -- Conclusions and Future Research -- References -- An Ensemble of Degraded Neural Networks -- Introduction -- The Strategy |
| Summary |
This book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Online resource; title from PDF title page (SpringerLink, viewed June 27, 2011) |
| Subject |
Pattern recognition systems -- Congresses
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Computer vision -- Congresses
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Image processing -- Congresses
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Neural networks (Computer science) -- Congresses
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Computational linguistics -- Congresses
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Informatique.
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Computational linguistics
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Computer vision
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Image processing
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Neural networks (Computer science)
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Pattern recognition systems
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Martínez Trinidad, José Francisco.
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| ISBN |
9783642215872 |
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3642215874 |
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3642215866 |
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9783642215865 |
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9783642215889 |
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3642215882 |
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