We propose a new sequential, adaptive, quadratic-time algorithm for variable-rate lossy compression of memoryless sources at a fixed distortion. The algorithm uses approximate pat...
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
— We model the power fluctuation as cycle-to-cycle power gradient and minimize the mean of the power gradients using ILP. We propose scheduling schemes for three modes of datapa...
Saraju P. Mohanty, N. Ranganathan, Sunil K. Chappi...
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Abstract. An important portion of the current research in Description Logics is devoted to the expansion of the reasoning services and the developement of algorithms that can adequ...