Browsing Computer Science and Automation (CSA) by Advisor "Krishna, G"
Now showing items 1-7 of 7
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A Cognitive science approach for modelling representational organization and learning in humans
Artificial intelligence (AI) is concerned with discovering intelligence in human mind and its application to the problems in real world. As a consequence it is associated with understanding the nature of human mind, that ... -
Contributions to the development of computationally efficient clustering techniques
The concept of multilevel theory is applied in this thesis to reduce the computation and storage requirements of various existing clustering algorithms. At the first level, the data is divided arbitrarily into a number of ... -
Design of pattern classifiers using optimization techniques
Of the various approaches to the design of pattern classifiers, those that depend on a given finite set of patterns have received considerable attention in the literature. These approaches fall into two categories depending ... -
A Knowledge-Based Approach To Pattern Clustering
(Indian Institute of Science, 2005-03-11)The primary objective of this thesis is to develop a methodology for clustering of objects based on their functionality typified by the notion of concept. We begin by giving a formal definition of concept. By assigning a ... -
Knowledge-based approach to pattern clustering.
The primary objective of this thesis is to develop a methodology for clustering of objects based on their functionality, typified by the notion of concept. We begin by giving a formal definition of concept. By assigning a ... -
Optical edge defection based image segementation algorithms
The work reported in this thesis primarily addresses edge detection algorithms in noisy images. The subjective errors that are inevitable in preprocessing and postprocessing generally used in edge detection cause errors ... -
Some studies in location and scheduling problems
The location and scheduling problems considered in this study are special cases of what are called combinatorial models. A combinatorial optimization problem consists of finding, from among a finite set of alternatives, ...