The identification or interpretation of the pattern in an image can be described effectively with the help of Pattern Recognition (PR). It aims to extract information about the image to classify its contents. Inputs are in the form of digitized binary valued 2D images or textures containing the pattern to be classified. The analysis and recognition of the patterns such as images and textures ar...

We present a two-player game against nature for the study of classifier combination. The game is an extension of the prediction with expert advice framework developed by Cesa Bianchi et al.. In the game, the player selects from a set of base classifiers and their combinations, playing a closed-world competitive prediction with expert advice game, with the aim of selecting one of the classifiers...

This report summarizes the discussions of the Working Group on Character Recognition of the IAPR 1990 Workshop on Syntactic and Structural Pattern Recognition, Murray Hill, NJ, 13-15 June 1990. The participants were: H. Baird, T. Bayer, H. Fuji~awa , T. K. Ho, J. Hull, T. Itagaki, D. Lee, S. Liebowitz, O. Matan, G. Nagy, T. Pavlidis, and S. Srihari. George Nagy moderated the discussion and Thom...

This paper presents an integrated system for face detection and tracking in video sequences. The system consists of two modules, namely face detection and face tracking. The automatic face detection is based on a non-holistic object detection approach that utilizes the appearance and the topology of facial components to robustly detect faces in images. Both statistical and structural pattern re...

Symmetry-based state space pruning techniques have proved to greatly improve heuristic search based classical planners. Similarly, abstraction heuristics in general and pattern databases in particular are key ingredients of such planners. However, only little work has dealt with how the abstraction heuristics behave under symmetries. In this work, we investigate the symmetry properties of the p...

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A fundamental problem in pattern recognition is selecting suitable representations for objects and classes. In the decision-theoretic approach to pattern recognition, a pattern is represented by a set of numerical values, which forms a feature vector. Although, in many tasks, objects can be recognised successfully using only global features such as size and compactness, in some applications it ...

Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarity of attributed graphs in an error-tolerant way. The key idea is to model graph variations by structural distortion operations. As one of its main constraints, however, the edit distance requires the adequate definitio...

This study evaluated 967 U.S. CVB websites using a modified Balanced Scorecard (mBSC) approach which assesses website performance with respect to overall technical functionality, customer friendliness and usability, effectiveness of marketing the destination, and information content. Spatial maps were constructed for these four dimensions and overall CVB website performance using ArcMap v.9.2 G...

structural repetitive subsequences are most important portion of biological sequences, which play crucial roles on corresponding sequence’s fold and functionality. biggest class of the repetitive subsequences is “transposable elements” which has its own sub-classes upon contexts’ structures. many researches have been performed to criticality determine the structure and function of repetitive su...