We present a novel approach for fast object class recognition incorporating contextual information into boosting. The object is represented as a constellation of generalized corre...
To provide a natural interface to the computer, we present an integrated speech, gesture, and handwriting recognition system. By integrating these technologies, we can easily acco...
Abstract. In this paper, an integrated offline recognition system for unconstrained handwriting is presented. The proposed system consists of seven main modules: skew angle estimat...
Ergina Kavallieratou, Nikos Fakotakis, George K. K...
It is tedious to handwrite long passages of text by hand. To make this process more efficient, we propose predictive handwriting that provides input predictions when the user writ...
Kazutaka Kurihara, Masataka Goto, Jun Ogata, Takeo...
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...