We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
The main objective of the IBM Grand Central Station (GCS) is to gather information of virtually any type of formats (text, data, image, graphics, audio, video) from the cyberspace...
Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismi...
Dheeraj Bhardwaj, Jeremy Cohen, Steve McGough, Ste...