Journal Articles

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/19884

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Author: search.filters.author.Tripathi, S.

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    Optimization of countour based template matching using GPGPU based hexagonal framework
    (Machine Intelligence Research (MIR) Labs contact@mirlabs.org, 2015) Bhagya, M.; Tripathi, S.; Santhi Thilagam, P.
    This paper presents a technique to optimize contour based template matching by using general purpose computation on graphics processing units (GPGPU). Contour based template matching requires edge detection and searching for presence of a template in an entire image, real time implementation of which is not trivial. Using the proposed solution, we could achieve an implementation fast enough to process a standard video (640x480) in real time with sufficient accuracy.
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    K means clustering for gene-gene interaction in episodic memory
    (Serials Publications serialspublications@vsnl.net, 2016) Tripathi, S.; Sharma, A.K.; Mishra, R. B.; Pandey, B.
    In this paper K means Clustering Algorithm is used for clustering of candidate genes related to human episodic memory. The clustering of genes is based on gene-gene interaction score. The clusters are supposed to be formed so that distribution of cluster as well as overall interaction Score of clusters should be better. The K-means clustering technique applied to cluster the genes such as in tool STRING 9.1 provides cluster outcome. We compare the results of K means Clustering provided by STRING 9.1 with our K means Clustering Algorithm. The results obtained using K-means shows that clusters formed have better distribution of genes. © International Science Press.