This paper is concerned with the estimation of steganographic capacity in digital images, using information theoretic bounds and very large-scale experiments to approximate the dis...
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
In this paper, we present a new image segmentation method based on energy minimization for iteratively evolving an implicit active contour. Methods for active contour evolution is ...
Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Ko...
We describe DSPHERE1 - a decentralized system for crawling, indexing, searching and ranking of documents in the World Wide Web. Unlike most of the existing search technologies tha...
Bhuvan Bamba, Ling Liu, James Caverlee, Vaibhav Pa...
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...