Pattern Recognition

1. Front Matter

   Pages I-XIV

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2. Pattern Recognition and Artificial Intelligence

   1. Reduced Data Based Improved MEB/L2-SVM Equivalence

      • Lachachi Nour-Eddine, Adla Abdelkader

      Pages 1-10

   2. Weighted Maximum Variance Dimensionality Reduction

      • Turki Turki, Usman Roshan

      Pages 11-20

   3. Improved Performance of Computer Networks by Embedded Pattern Detection

      • Angel Kuri-Morales, Iván Cortés-Arce

      Pages 21-30

   4. On Two Definitions of Reduct

      • Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa

      Pages 31-40

   5. A Family of Two-Dimensional Benchmark Data Sets and Its Application to Comparing Different Cluster Validation Indices

      • Jorge M. Santos, Mark Embrechts

      Pages 41-50

   6. Studying Netconf in Hybrid Rule Ordering Strategies for Associative Classification

      • Raudel Hernández-León, José Hernández-Palancar, J. A. Carrasco-Ochoa, José Fco. Martínez-Trinidad

      Pages 51-60

   7. Multilayer Neural Network with Multi-Valued Neurons in Time Series Forecasting of Oil Production

      • Igor Aizenberg, Leonid Sheremetov, Luis Villa-Vargas

      Pages 61-70

   8. Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy

      • Andrés Espinal, Martín Carpio, Manuel Ornelas, Héctor Puga, Patricia Melín, Marco Sotelo-Figueroa

      Pages 71-80

   9. Problem Solving Environment Based on Knowledge Based System Principles

      • A. M. Martinez-Enriquez, G. Escalada-Imaz, Aslam Muhammad

      Pages 81-91

   10. Positive and Negative Local Trend Association Patterns in Analysis of Associations between Time Series

       • Ildar Batyrshin, Valery Solovyev

       Pages 92-101

   11. An Effective Permutant Selection Heuristic for Proximity Searching in Metric Spaces

       • Karina Figueroa, Rodrigo Paredes

       Pages 102-111

   12. Study of Overlapping Clustering Algorithms Based on Kmeans through FBcubed Metric

       • Argenis A. Aroche-Villarruel, J. A. Carrasco-Ochoa, José Fco. Martínez-Trinidad, J. Arturo Olvera-López, Airel Pérez-Suárez

       Pages 112-121

3. Computer Vision

   1. Contextualized Hand Gesture Recognition with Smartphones

      • Enrique Garcia-Ceja, Ramon Brena, Carlos E. Galván-Tejada

      Pages 122-131

   2. Introducing an Experimental Framework in C# for Fingerprint Recognition

      • Miguel Angel Medina-Pérez, Octavio Loyola-González, Andres Eduardo Gutierrez-Rodríguez, Milton García-Borroto, Leopoldo Altamirano-Robles

      Pages 132-141

   3. A Feasibility Study on the Use of Binary Keypoint Descriptors for 3D Face Recognition

      • Janez Križaj, Vitomir Štruc, France Mihelič

      Pages 142-151

   4. Robust Head Gestures Recognition for Assistive Technology

      • Juan R. Terven, Joaquin Salas, Bogdan Raducanu

      Pages 152-161

   5. Object Recognition with Näive Bayes-NN via Prototype Generation

      • Hugo Jair Escalante, Mauricio Sotomayor, Manuel Montes, A. Pastor Lopez-Monroy

      Pages 162-171

   6. HOOSC128: A More Robust Local Shape Descriptor

      • Edgar Roman-Rangel, Stephane Marchand-Maillet

      Pages 172-181

   7. An Approach for Multi-pose Face Detection Exploring Invariance by Training

      • Eanes Torres Pereira, Herman Martins Gomes, João Marques de Carvalho

      Pages 182-191

This book constitutes the refereed proceedings of the 6th Mexican Conference on Pattern Recognition, MCPR 2014, held in Cancun, Mexico, in June 2014. The 39 revised full papers presented were carefully reviewed and selected from 68 submissions and are organized in topical sections on pattern recognition and artificial intelligence; computer vision; image processing and analysis; animal biometric recognition and applications of pattern recognition.

• algorithms
• artificial intelligence
• classification
• clustering
• computer vision
• data mining
• face recognition
• gesture recognition
• image processing
• learning paradigms
• machine learning
• object recognition
• pattern recognition

• Computer Science Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Sta. Maria Tonantzintla, Mexico

  José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

• Faculty of Computer Sciences, Autonomous University of Puebla (BUAP), Ciudad Universitaria, Mexico

  José Arturo Olvera-Lopez

• Instituto Politécnico Nacional (IPN), Colinas del Cimatario, Mexico

  Joaquín Salas-Rodríguez

• Centre for Pattern Recognition and Machine Intelligence, Computer Science and Software Engineering Department, Concordia University, Montreal, Canada

  Ching Y. Suen

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