edited by Rajat K De (Indian Statistical Institute, India), Deba Prasad Mandal (Indian Statistical Institute, India), & Ashish Ghosh (Indian Statistical Institute, India)

This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.

Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.

• Combining Information with a Bayesian Multi-Class Multi-Kernel Pattern Recognition Machine (T Damoulas & M A Girolami)
• Image Quality Assessment Based on Weighted Perceptual Features (D V Rao & L P Reddy)
• Quasi-Reversible Two-Dimension Fractional Differentiation for Image Entropy Reduction (A Nakib et al.)
• Parallel Genetic Algorithm Based Clustering for Object and Background Classification (P Kanungo et al.)
• Bipolar Fuzzy Spatial Information: First Operations in the Mathematical Morphology Setting (I Bloch)
• Approaches to Intelligent Information Retrieval (G Pasi)
• Retrieval of On-line Signatures (H N Prakash & D S Guru)
• A Two Stage Recognition Scheme for Offline Handwritten Devanagari Words (B Shaw & S K Parui)
• Fall Detection from a Video in the Presence of Multiple Persons (V Vishwakarma et al.)
• Fusion of GIS and SAR Statistical Features for Earthquake Damage Mapping at the Block Scale (G Trianni et al.)
• Intelligent Surveillance and Pose-Invariant 2D Face Classification (B C Lovell et al.)
• Simple Machine Learning Approaches to Safety-Related Systems (C Moewes et al.)
• Nonuniform Multi Level Crossings for Signal Reconstruction (N Poojary et al.)
• Adaptive Web Services Brokering (K M Gupta & D W Aha)
• Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Over Expression in Escherichia Coli and Breast Cancer Classification (P Kumar et al.)