We explore in this paper a practicably interesting mining task to retrieve frequent itemsets with memory constraint. As opposed to most previous works that concentrate on improvin...
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Determinist...
This talk will review the progress and the evolution of the development of range sensing techniques at the NRC laboratories. Essentially a 3 0 imaging project at the beginning, it...
We have been handling video with supplementary documents, such as cooking programs, and are working on integration of such media. Through the integration, many applications will b...