T. Sridevi

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Image segmentation is to partition an image into meaningful regions with respect to a particular application. Object recognition is the task of finding a given object in an image or video sequence. In this paper, interaction between image segmentation (using different edge detection methods) and object recognition are discussed. Edge detection methods such(More)
A major area of current research in data mining is the field of medical diagnosis. In the present study using the Breast cancer Wisconsin data sets, a feature selection algorithm Modified Correlation Rough Set Feature Selection (MCRSFS) predicts both diagnosis and prognosis by comparing several data mining classification algorithms. In the proposed(More)
Feature selection aims to select subset of original features. It removes unrelated, redundant or noisy data from the problem domain. Rough set theory is often applied to feature reduction using the data alone, requiring no additional information and widely used for classification tool in data mining. Clustering, a form of data grouping, groups a set of data(More)
Feature selection is a fundamental problem in data mining, especially for high level dimensional datasets. Feature selection is a process commonly used in machine learning, wherein subsets of the features from the original set of features are selected for application of a learning algorithm. The best subset contains the minimum number of dimensions(More)
Feature selection or variable reduction is a fundamental problem in data mining, refers to the process of identifying the few most important features for application of a learning algorithm. The best subset contains the minimum number of dimensions retaining a suitably high accuracy on classifier in representing the original features. The objective of the(More)
In wireless multimedia sensor networks coverage area and redundant sensor are a major problem thus throughput is minimum and more delay .In order to optimize the network coverage, use a coverage-enhancing algorithm based on overlap-sense ratio. By adjusting the sensing directions of the nodes, the coverage area is increased with the reduction of complexity.(More)
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