Pattern Recognition and Machine Intelligence

1. Front Matter

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2. Pattern Recognition and Machine Learning

   1. New Approaches to Design and Control of Time Limited Search Algorithms

      • Partha Pratim Chakrabarti, Sandip Aine

      Pages 1-6

   2. Feature Selection Using Non Linear Feature Relation Index

      • Namita Jain, C. A. Murthy

      Pages 7-12

   3. Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features

      • S. Chandrakala, C. Chandra Sekhar

      Pages 13-18

   4. 2D-LPI: Two-Dimensional Locality Preserving Indexing

      • S. Manjunath, D. S. Guru, M. G. Suraj, R. Dinesh

      Pages 19-24

   5. A Geometric Algorithm for Learning Oblique Decision Trees

      • Naresh Manwani, P. S. Sastry

      Pages 25-31

   6. Kernel Optimization Using a Generalized Eigenvalue Approach

      • Jayadeva, Sameena Shah, Suresh Chandra

      Pages 32-37

   7. Zero Norm Least Squares Proximal SVR

      • Jayadeva, Sameena Shah, Suresh Chandra

      Pages 38-43

   8. Effect of Subsampling Rate on Subbagging and Related Ensembles of Stable Classifiers

      • Faisal Zaman, Hideo Hirose

      Pages 44-49

   9. Metric in Feature Space

      • C. A. Murthy, Sourav Pradhan

      Pages 50-55

   10. Speeding-Up the K-Means Clustering Method: A Prototype Based Approach

       • T. Hitendra Sarma, P. Viswanath

       Pages 56-61

   11. Constructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining

       • Arvind Singh Chandel, Aruna Tiwari, Narendra S. Chaudhari

       Pages 62-67

   12. Novel Deterministic Heuristics for Building Minimum Spanning Trees with Constrained Diameter

       • C. Patvardhan, V. Prem Prakash

       Pages 68-73

   13. Multi-objective Evolutionary Feature Selection

       • Partha Pratim Kundu, Sushmita Mitra

       Pages 74-79

   14. A Fast Supervised Method of Feature Ranking and Selection for Pattern Classification

       • Suranjana Samanta, Sukhendu Das

       Pages 80-85

   15. Clustering in Concept Association Networks

       • Arun R., V. Suresh, C. E. Veni Madhavan

       Pages 86-91

3. Soft Computing and Applications

   1. Interactive Rough-Granular Computing in Pattern Recognition

      • Andrzej Skowron, Jan Bazan, Marcin Wojnarski

      Pages 92-97

   2. Application of Neural Networks in Preform Design of Aluminium Upsetting Process Considering Different Interfacial Frictional Conditions

      • Ajay Kumar Kaviti, K. K. Pathak, M. S. Hora

      Pages 98-105

   3. Case Indexing Using PSO and ANN in Real Time Strategy Games

      • Peng Huo, Simon Chi-Keung Shiu, HaiBo Wang, Ben Niu

      Pages 106-115

   4. Construction of Fuzzy Relation by Closure Systems

      • Vladimír Janiš, Magdalena Renčova, Branimir Šešelja, Andreja Tepavčević

      Pages 116-121

This volume contains the proceedings of the third international conference on Pattern Recognition and Machine Intelligence (PReMI 2009) which was held at the Indian Institute of Technology, New Delhi, India, during December 16–20, 2009. This was the third conference in the series. The first two conferences were held in December at the Indian Statistical Institute, Kolkata in 2005 and 2007. PReMI has become a premier conference in India presenting state-of-art research findings in the areas of machine intelligence and pattern recognition. The conference is also successful in encouraging academic and industrial interaction, and in prom- ing collaborative research and developmental activities in pattern recognition, - chine intelligence and other allied fields, involving scientists, engineers, professionals, researchers and students from India and abroad. The conference is scheduled to be held every alternate year making it an ideal platform for sharing views and expe- ences in these fields in a regular manner. The focus of PReMI 2009 was soft-computing, machine learning, pattern recognition and their applications to diverse fields. As part of PReMI 2009 we had two special workshops. One workshop focused on text mining. The other workshop show-cased industrial and developmental projects in the relevant areas. Premi 2009 attracted 221 submissions from different countries across the world.

• Video Retrieval
• biometrics
• data mining
• image analysis
• image processing
• intelligence
• learning
• machine learning
• pattern recognition

• Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India

  Santanu Chaudhury

• Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India

  Sushmita Mitra

• Center for Soft Computing Research, Indian Statistical Institute,  

  C. A. Murthy

• Department of Electrical Engineering, Indian Institute of Science, Bangalore, INDIA

  P. S. Sastry

• Center for Soft Computing Research, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

  Sankar K. Pal

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