We propose a general framework for the detection of the LSB steganography using digital media files as cover objects. The new framework exploits high-order statistics of the samp...
We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of...
This paper is concerned with a development of a videobased recognition system of continuous sign language. The system aimsfor an automatic signer dependent recognition of sign lan...
Britta Bauer, Hermann Hienz, Karl-Friedrich Kraiss
We desert'be our latest attempt at adaptive language modeling. At the heart of our approachis a Maximum Entropy(ME) modelwhich inc.orlxnatesmanyknowledgesources in a consiste...
Abstract. We present a loosely-supervised method for context-free identification of transliterated foreign names and borrowed words in Hebrew text. The method is purely statistical...