The conversion of a legacy system to a system based on a commercial-off-the-shelf (COTS) package demands a dedicated guidance. The assumption that it is just a matter of adopting ...
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
From cartoons to medical research world, from the field of arts to scientific visualization, everyone related to these areas have been continuously using 3D motion capture data. Qu...
Manoj M. Pawar, Gaurav N. Pradhan, Kang Zhang, Bal...