Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
This is the first paper that proposes automatic image annotation using the semantics of XML. In this paper, we propose XPRM - XML Path based Relevance Model for automatic image a...
Finding the “best” viewing parameters for a scene is quite difficult but a very important problem. Fully automatic procedures seem to be impossible as the notion of “best...
: The paper is concerned with hiding information into a digital image, specifically, an English text is used to be hidden into a digital grey-scale image. The purpose of this resea...