Pattern Recognition
4th Mexican Conference, MCPR 2012, Huatulco, Mexico, June 27-30, 2012. Proceedings
Published on 28. June 2012
XIV, 346 pages
978-3-642-31149-9 (ISBN)
Description
This book constitutes the refereed proceedings of the 4th Mexican Conference on Pattern Recognition, MCPR 2012, held in Huatulco, Mexico, in June 2012. The 31 revised full papers and 3 keynotes presented were carefully reviewed and selected from 64 submissions and are organized in topical sections on image processing; computer vision and image recognition; pattern recognition and neural networks; and document processing and speech recognition.
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Jesús Ariel Carrasco-Ochoa | Jose Francisco Martinez-Trinidad | Jose Arturo Olvera López
Pattern Recognition
4th Mexican Conference, MCPR 2012, Huatulco, Mexico, June 27-30, 2012. Proceedings
Book
06/2012
Springer
€53.49
Shipment within 7-9 days
Content
- Title
- Preface
- Organization
- Table of Contents
- Keynote Addresses
- From Linear Representations to Object Parts
- Introduction
- Notions and Definitions
- Skeleton Partition
- Object Decomposition
- Region Merging
- Concluding Remarks
- References
- Perceptual Grouping Using Superpixels
- Introduction
- Symmetric Part Detection and Grouping
- Contour Closure
- Conclusions
- References
- Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration
- Introduction
- Generalities on Artificial Neural Networks and Associative Memories
- ANNs
- AMs
- Automatic Synthesis of ANNs by Means of Bio-inspired Techniques
- PSO, DE and ABC
- Garro's Proposal
- Automatic Synthesis of AMs by Means of Genetic Programming
- Genetic Programming
- Villegas' Proposal
- Results
- Examples of ANNs Synthetically Derived
- Examples of AMs Synthetically Derived
- Conclusions and Directions for Further Research
- References
- Image Processing
- An Automatic Image Scaling Up Algorithm
- Introduction
- The Scaling Up Algorithm FAS
- Experimental Results
- Conclusion
- References
- Sampling Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing
- Introduction
- A Monte Carlo Matrix Multiplication Algorithm
- Sampling Techniques for Ill-Conditioned Matrices
- Uniform and Optimal Sampling for Ill-Conditioned Matrices
- Analysis
- Distribution of the Relative Error for Different Sampling Criteria
- Discussion
- Piecewise Uniform Sampling: A Novel Sampling Criterion
- Concluding Remarks
- References
- Extended Photometric Sampling for Surface Shape Recovery
- Introduction
- Photometric Analysis
- Using Additional Light Sources
- Photometric Sampling
- Extended Photometric Sampling
- Surface Normal Estimation
- Experiments
- Conclusions
- References
- A Segmentation Method for Tree Crown Detection and Modelling from LiDAR Measurements
- Introduction
- Study Site and Data Used
- Field Campaigns
- LiDAR Data
- Methods
- Ground Filtering
- Tree Crown Detection
- Tree Modelling
- Results
- Detection Rate
- 3-D Modelling
- Conclusions
- References
- Texture Analysis for Skin Probability Maps Refinement
- Introduction
- Related Work
- Statistical Skin Modeling
- Texture-Based Probability Map Processing
- Linear Discriminant Analysis
- Discriminative Textural Features
- Skin Detection Using DTF Space
- Experimental Validation
- Conclusions and Future Work
- References
- Composite Correlation Filters for Detection of Geometrically Distorted Objects Using Noisy Training Images
- Introduction
- Composite Correlation Filter Algorithm
- Computer Simulations
- Conclusions
- References
- Adaptive Spatial Concealment of Damaged Coded Images
- Introduction
- Spatial Error Concealment Methods
- Weighted Average Approach in H.264 Decoder
- Directional Interpolation Approach
- Proposed Method Based on Edge Analysis
- Computing Edge Direction
- MB Reconstruction Using Adaptive Interpolation
- Implementation and Results
- Discussions and Further Work
- References
- Computer Vision and Image Recognition
- Human Sign Recognition for Robot Manipulation
- Introduction
- Experimental Framework
- Middle Body Detection and Sign Recognition
- Image Preprocessing
- Middle Body Segmentation
- Arm and Forearm Detection
- Benchmark Signs for Recognition
- Experimental Results
- Conclusions
- References
- Fuzzy Sets for Human Fall Pattern Recognition
- Introduction
- Fall Pattern Recognition
- Determination of Fall Indicators
- Fuzzy System Design
- DataandResults
- Conclusions
- References
- Vision System for 3D Reconstruction with Telecentric Lens
- Introduction
- Experimental Development
- Geometrical Model Approach
- Estimation of Intrinsic and Extrinsic Parameters
- Calibration Method
- Numerical Validation
- Results
- Uncertainty of Intrinsic Parameters
- Validation of the Calibration
- Three Dimensional Reconstruction
- Conclusions and Futur Works
- References
- A Tool for Hand-Sign Recognition
- Introduction
- Background
- Skin-Color Filtering
- Edge Detection
- Existing Methods
- Proposal for a Hand-Sign Recognition System
- Experiments
- Experimental Setup
- Results of User Experiments
- References
- Improving the Multiple Alignments Strategy for Fingerprint Verification
- Introduction
- Previous Work
- Single Alignment Strategy
- Multiple Alignments Strategy
- Improving the Multiple Alignments Strategy
- Experimental Results
- Conclusions
- References
- Breaking reCAPTCHAs with Unpredictable Collapse: Heuristic Character Segmentation and Recognition
- Introduction
- Related Works for CAPTCHA Breaking
- The Proposed Image Preprocessing with Text Alignment
- The Proposed Algorithms for Segmentation and Recognition
- Morphological Analysis of Characters
- Three-Color Bar Character Encoding
- Heuristic Segmentation by Three-Color Bar Code
- Character Recognition
- Experiments and Discussion
- Conclusions
- References
- Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction
- Introduction
- Materials and Methods
- Data Bases
- Contact Maps Definition
- Model Architecture
- The Pre-processing Procedure
- Evaluation of the Efficiency
- Results
- Comparison with the Previous Methods
- Conclusions
- References
- Pattern Recognition and Neural Networks
- Associative Model for Solving the Wall-Following Problem
- Introduction
- Morphological Associative Memories
- Morphological Associative Memories
- Methods and Materials
- Experiments and Results
- Conclusions
- References
- The List of Clusters Revisited
- Introduction
- Preliminaries
- Pivot Based Indexes
- Compact Partition Indexes
- Our Contribution
- Revisiting the List of Clusters
- Description of Datasets
- Experiments
- Construction Time
- Search Performance
- Conclusions and Future Work
- References
- A Heuristically Perturbation of Dataset to Achieve a Diverse Ensemble of Classifiers
- Introduction
- CDEBMTE: Creation of Diverse Ensemble Based on Manipulation of Training Examples
- Preparing Different Subsets of Training Dataset
- Creating an Ensemble of Diverse Classifiers
- Diversity of an Ensemble
- CDEBMTE
- Experimental Results
- Conclusions
- References
- Compact and Efficient Permutations for Proximity Searching
- Introduction
- Previous and Related Work: Permutations
- Our Proposal
- Our Contribution
- Solving Queries
- Experimental Evaluation
- Synthetic Databases
- Real Databases
- Contributions and Future Work
- References
- NURBS Parameterization: A New Method of Parameterization Using the Correlation Relationship between Nodes
- Introduction
- NURBS Curves
- Knot Vector
- Methods for Generating Knot Vector
- Parameterization
- Proposed Approach
- Experimental Results
- Conclusion
- References
- Genetic Algorithm for Multidimensional Scaling over Mixed and Incomplete Data
- Introduction
- Related Work
- MDSCAL
- ISOMAP
- LLE
- Evaluation and Distance Functions
- Evaluation Functions
- Distance Functions
- Proposed Method
- Individual Representation
- Initial Population
- Mutation
- Crossover
- Experiments
- Conclusions
- References
- Experimental Validation of an Evolutionary Method to Identify a Mobile Robot's Position
- Introduction
- Data Set Up
- Pareto Front and Multi-Object Genetic Algorithms
- Validation of the Method
- Results
- Conclusions
- References
- Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns
- Introduction
- Shape Similarity Measures
- Up and Down Trend Associations
- Up and Down Time Series Shape Association Patterns
- Example of Recognition of Associated Patterns in Wells Production Data
- Conclusions
- References
- Unsupervised Linkage Learner Based on Local Optimums
- Introduction
- Background
- Challenging Problems
- Linkage Learning
- Local Optimum Based Linkage Learner: LLLC
- Finding Local Optimums
- Extracting Real Building Blocks Out of Local Optimums
- Experimental Results and Discussion
- Conclusions
- References
- A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks
- Introduction
- Proposed Method: Modified Back-Propagation Algorithm
- Experimental Set-Up
- Results and Discussion
- Conclusion
- References
- Computing #2SAT and #2UNSAT by Binary Patterns
- Introduction
- Preliminaries
- Computing #2SAT by Binary Patterns
- Polynomial Time Procedures for #2UNSAT
- Conclusions
- References
- Document Processing and Speech Recognition
- A New Document Author Representation for Authorship Attribution
- Introduction
- Related Work
- Document Author Representation
- Term Representation
- Document Representation
- DAR's Time Complexity Analysis
- Experimental Methodology
- Experiments and Results
- Experiment 1. DAR Using Words
- Experiment 2. DAR Using Character 3-Grams
- Experiment 3. DAR Using a Frequency Threshold
- Discussion of the Results
- Conclusions
- References
- A Machine-Translation Method for Normalization of SMS
- Introduction
- Normalization of SMS
- A Probabilistic Model for SMS-Based FAQ Retrieval
- Experimental Results
- Training Dataset
- Test Dataset
- Evaluation Results
- Conclusions and Further Work
- References
- Reduced Universal Background Model for Speech Recognition and Identification System
- Introduction
- Minimal Enclosing Balls (MEB) and Core-Set
- Core-Set for MEB
- Support Vector Machines (SVMs)
- Multi-class Extensions
- MEB and Multi-class L2-SVMs Equivalence
- Fuzzy C-Mean Clustering Algorithm
- Reduced Data Approaches
- Formulation
- Instantiation for the OAO Multi-class Approach
- Instantiation for the OAA Multi-class Approach
- Experiments
- Conclusion
- References
- GA Approaches to HMM Optimization for Automatic Speech Recognition
- Introduction
- Genetic Algorithms
- Approach 1
- Approach 2
- Speech Data and Baseline Recogniser
- Results
- Performance on the Un-Adapted Baseline
- Performance on the Adapted Baseline
- Conclusions and Future Work
- References
- Phonetic Unification of Multiple Accents for Spanish and Arabic Languages
- Introduction
- PUMA Architecture
- Data Preprocessing
- Feature Extraction Using MFCC
- Modeling, Storing and Comparison of Codebooks
- Comparison Module
- Related Work
- Experiments and Results
- Conclusion
- References
- Environmental Sound Recognition by Measuring Significant Changes in the Spectral Entropy
- Introduction
- Previous Work
- Feature Extraction: MFCC and MBSES
- The *MBSES
- The CMBSES
- Database
- Experiments
- Conclusion and Future Work
- References
- Author Index
