Pattern Recognition

Name: Pattern Recognition | Third Mexican Conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011. Proceedings
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Third Mexican Conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011. Proceedings

José Francisco Martínez-Trinidad Jesús Ariel Carrasco-Ochoa Cherif Ben-Youssef Brants Edwin Robert Hancock(Editor)

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Published on 24. June 2011

XIV, 352 pages

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978-3-642-21587-2 (ISBN)

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Content

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
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 `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
References
Associative Memory Approach for the Diagnosis of Parkinson's Disease
Introduction
Alpha-Beta Associative Memories
Alpha-Beta Associative Memories
Johnson-Möbius 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
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
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
An Example
A Theoretical Justification
Experimental Results
Discussions and Conclusion
References
Genetic Fuzzy Relational Neural Network for Infant Cry Classification
Introduction
Fuzzy Relational Neural Network
Learning Phase
Processing Phase
Genetic Algorithms for Optimizing Parameters
Representation of the Chromosome
Genetic Operations
Fitness Function
Experiments and Results
Comparisons with Other Work
Conclusions and Future Work
References
Speech Compression Based on Frequency Warped Cepstrum and Wavelet Analysis
Introduction
Cepstral Analysis Synthesis
Wavelet Analysis
Detection of Fricative Sound Block
Design of the Coding-Decoding System
Encoding Process
Decoding Process
Quantization of the Filter Parameters
Speech Quality and Bit Rate
Conclusion
References
Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis
Introduction
Literature Review
Data Analysis
Database
Band Selection
Data Selection
Dust Storm Detection
Cloud Detection
Classifiers Design
C29 Output Analysis
C29 ANN Output Adjustment
Results and Conclusions
References
Extraction of Buildings Footprint from LiDAR Altimetry Data with the Hermite Transform
Introduction
Background
Discrete Hermite Transform
Region Growing Segmentation
Building Detection
Aboveground Features Height
The Planar Roof Model
Results
Conclusions
References
Natural Language and Document Processing
Automatic Acquisition of Synonyms of Verbs from an Explanatory Dictionary Using Hyponym and Hyperonym Relations
Introduction
Processing of Dictionary
Extraction of Genus from Definitions
Construction of the Graph
Extraction of Cycles
Evaluation
Selection of the Correct Synonyms
Possible Improvements of the Algorithm
Conclusions and Future Work
References
Using Finite State Models for the Integration of Hierarchical LMs into ASR Systems
Introduction
A Hierarchical Language Model Based on Classes of Phrases
Integration of Complex LMs into an ASR System
Experimental Results
Conclusions
References
Use of Elliptic Curves in Term Discrimination
Introduction
Use of Elliptic Curves in Term Discrimination
Experiments
Dataset
Evaluation
Conclusions and Further Work
References
Author Index

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Pattern Recognition

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