Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
In this paper we present EDAT, a tool designed for the analysis of trace files from network simulations and experiments. The EDAT framework encapsulates analysis steps in extensib...
In this paper, we address the problem of color image restoration. Here, we model the image as a Markov Random Field (MRF) and propose a restoration algorithm in a multiresolution ...
P. K. Nanda, K. Sunil Kumar, S. Ghokale, Uday B. D...
An effort to formalize the process of software pipelining loops with conditions is presented in this paper. A formal framework for scheduling such loops, based on representing set...