We present a new reliable hybrid recursive method for optical flow estimation. The method efficiently combines the advantage of discrete motion estimation and optical flow estimati...
The availability of high density single nucleotide polymorphisms (SNPs) data has made genome-wide association study computationally challenging. Twolocus epistasis (gene-gene inter...
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Monitoring or profiling programs provides us with an understanding for its further improvement and analysis. Typically, for monitoring or profiling, the program is instrumented ...
Harish Narayanappa, Mukul S. Bansal, Hridesh Rajan