This paper describes an approach for representing and manipulating sequences in description logics (DLs). The key idea is to represent sequences using sux trees, then represent t...
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
We introduce our research approach to investigating real world intelligence by building 'Remote-Brained Robots'. The key idea is that of interfacing AI systems with real...
We present theoretical algorithms for sorting and searching multikey data, and derive from them practical C implementations for applications in which keys are character strings. T...