Pattern Recognition and Machine Intelligence

1. Front Matter

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2. Invited Talks

   1. Enriching Education through Data Mining

      • Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

      Pages 1-2

   2. How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy

      • Boris Mirkin, Susana Nascimento, Trevor Fenner, Rui Felizardo

      Pages 3-12

   3. On Merging the Fields of Neural Networks and Adaptive Data Structures to Yield New Pattern Recognition Methodologies

      • B. John Oommen

      Pages 13-16

   4. Quality of Algorithms for Sequence Comparison

      • Mikhail Roytberg

      Pages 17-20

   5. Problems of Machine Learning

      • Alexei Ya. Chervonenkis

      Pages 21-23

3. Pattern Recognition and Machine Learning

   1. Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment

      • O. V. Krasotkina, V. V. Mottl, P. A. Turkov

      Pages 24-29

   2. The Classification of Noisy Sequences Generated by Similar HMMs

      • A. A. Popov, T. A. Gultyaeva

      Pages 30-35

   3. NDoT: Nearest Neighbor Distance Based Outlier Detection Technique

      • Neminath Hubballi, Bidyut Kr. Patra, Sukumar Nandi

      Pages 36-42

   4. Some Remarks on the Relation between Annotated Ordered Sets and Pattern Structures

      • Tim B. Kaiser, Stefan E. Schmidt

      Pages 43-48

   5. Solving the Structure-Property Problem Using k-NN Classification

      • Aleksandr Perevoznikov, Alexey Shestov, Evgenii Permiakov, Mikhail Kumskov

      Pages 49-53

   6. Stable Feature Extraction with the Help of Stochastic Information Measure

      • Alexander Lepskiy

      Pages 54-59

   7. Wavelet-Based Clustering of Social-Network Users Using Temporal and Activity Profiles

      • Lipika Dey, Bhakti Gaonkar

      Pages 60-65

   8. Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules

      • Konstantin Vorontsov, Andrey Ivahnenko

      Pages 66-73

   9. An Improvement of Dissimilarity-Based Classifications Using SIFT Algorithm

      • Evensen E. Masaki, Sang-Woon Kim

      Pages 74-79

   10. Introduction, Elimination Rules for ¬ and ⊃: A Study from Graded Context

       • Soma Dutta

       Pages 80-85

4. Image Analysis

   1. Discrete Circular Mapping for Computation of Zernike Moments

      • Rajarshi Biswas, Sambhunath Biswas

      Pages 86-91

   2. Unsupervised Image Segmentation with Adaptive Archive-Based Evolutionary Multiobjective Clustering

      • Chin Wei Bong, Hong Yoong Lam

      Pages 92-97

   3. Modified Self-Organizing Feature Map Neural Network with Semi-supervision for Change Detection in Remotely Sensed Images

      • Susmita Ghosh, Moumita Roy

      Pages 98-103

   4. Image Retargeting through Constrained Growth of Important Rectangular Partitions

      • Rajarshi Pal, Jayanta Mukhopadhyay, Pabitra Mitra

      Pages 104-109

This book constitutes the refereed proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2011, held in Moscow, Russia in June/July 2011. The 65 revised papers presented together with 5 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on pattern recognition and machine learning; image analysis; image and video information retrieval; natural language processing and text and data mining; watermarking, steganography and biometrics; soft computing and applications; clustering and network analysis; bio and chemo analysis; and document image processing.

• genetic algorithm
• image segmentation
• multiobjective clustering
• texture image analysis
• watermarking
• algorithm analysis and problem complexity

• State University Higher School of Economics, Moscow, Russia

  Sergei O. Kuznetsov

• Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

  Deba P. Mandal

• Machine Intelligence, Indian Statistical Institute, Kolkata, India

  Malay K. Kundu, Sankar K. Pal

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