LEADER 13446nam 22008775 450 001 996465377603316 005 20200706160132.0 010 $a3-642-21587-4 024 7 $a10.1007/978-3-642-21587-2 035 $a(CKB)2670000000095873 035 $a(SSID)ssj0000576718 035 $a(PQKBManifestationID)11347707 035 $a(PQKBTitleCode)TC0000576718 035 $a(PQKBWorkID)10559054 035 $a(PQKB)10990953 035 $a(DE-He213)978-3-642-21587-2 035 $a(MiAaPQ)EBC6298805 035 $a(MiAaPQ)EBC5591151 035 $a(Au-PeEL)EBL5591151 035 $a(OCoLC)733094381 035 $a(PPN)153867418 035 $a(EXLCZ)992670000000095873 100 $a20110624d2011 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPattern Recognition$b[electronic resource] $eThird Mexican Conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011. Proceedings /$fedited by José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants, Edwin Robert Hancock 205 $a1st ed. 2011. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2011. 215 $a1 online resource (XIV, 352 p. 131 illus., 47 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6718 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-21586-6 320 $aIncludes bibliographical references and index. 327 $aIntro -- 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. 327 $aSolving 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 `3?9`42`"?613A``45`47`"603AKNR -- Using the `3?9`42`"?613A``45`47`"603AKNR Framework to Create Proximity Indexes -- Experimental Results -- Recall of the Indexes -- Increasing Recall Using Several `3?9`42`"?613A``45`47`"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. 327 $aReferences -- Associative Memory Approach for the Diagnosis of Parkinson's Disease -- Introduction -- Alpha-Beta Associative Memories -- Alpha-Beta Associative Memories -- Johnson-Mo?bius Modified Code -- Alpha-Beta Bidirectional Associative Memories -- Experiments and Results -- Conclusions -- References -- Computer Vision and Robotics -- Thermal Video Analysis for Fire Detection Using Shape Regularity and Intensity Saturation Features -- Introduction -- Fire Detection Method -- Image Preprocessing -- Prospective Fire Blobs Location -- Feature Extraction -- Classification Scheme -- Results and Conclusions -- Experimental Results -- Performance Metrics -- References -- People Detection Using Color and Depth Images -- Introduction -- Previous Work -- Detection of Foreground Objects -- Planar Background Elimination -- Background Model -- Foreground Objects -- Combining Detections -- Experimental Results -- Conclusion -- References -- Measuring Rectangularity Using GR-Signature -- Introduction -- Radon Transform -- Gradient -- GR-Signature -- Rectangularity Measure (RGR) -- Evaluation -- Conclusions -- References -- Multi-modal 3D Image Registration Based on Estimation of Non-rigid Deformation -- Introduction -- 3D Object Surface Extraction Based on Active Contour Models -- Extraction of 3D Object Feature Points from Sets of Images -- Estimation of Non-rigid Deformation -- Experiments and Results -- Conclusions -- References -- Performance of Correlation Filters in Facial Recognition -- Introduction -- Correlation Filters -- K-Law Nonlinear Composite Filter -- Minimum Average Correlation Energy -- Average of Synthetic Exact Filters -- Performances of the Correlation Filters in Face Recognition -- Conclusions -- References -- Evaluation of Binarization Algorithms for Camera-Based Devices -- Introduction -- Materials and Methods -- Binarization Methods. 327 $aImage 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. 327 $aAdaptive 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. 327 $aAn Example. 330 $aThis book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v6718 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aApplication software 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aInformation Systems Applications (incl. 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