Analysis of image sequences using redundant representations (2005)
This thesis focuses primarily on two techniques often used for low level analysis of motion in image sequences, the computation of optical flow fields and the determination of the spatio-temporal...
Feature selection in MLPs and SVMs based on maximum output information (2004)
Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, Jose Principe, Partha Niyogi
Abstract — We present feature selection algorithms for multilayer
Feature Selection in Example-Based Image Retrieval Systems (2002)
V. Shiv, Naga Prasad, A. G. Faheema, Subrata Rakshit
The objective of Content Based Image Retrieval (CBIR) systems is to retrieve images from large datasets based on queries regarding their contents. This paper discusses the problem of selecting...
Feature Selection in Example-Based Image Retrieval Systems (2002)
V. Shiv, Naga Prasad, A. G. Faheema, Subrata Rakshit
The objective of Content Based Image Retrieval (CBIR) systems is to retrieve images from large datasets based on queries regarding their contents. This paper discusses the problem of selecting...
Computation of Optical Flow Using Basis Functions (1997)
Subrata Rakshit, Charles H. Anderson
The issues governing the computation of optical flow in image sequences are addressed in this paper. The trade off between accuracy versus computation cost is shown to be dependent on the redundancy...
Analysis of image sequences using redundant representations (1994)
This thesis focuses primarily on two techniques often used for low level analysis of motion in image sequences, the computation of optical flow fields and the determination of the spatio-temporal...