We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where t...
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Content delivery is becoming increasingly popular on the Internet. There are many ways to match content to subscribers. In this paper, we focus on subsumption-based matching. We p...
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Abstract- This paper describes the generation and utilisation of a pattern database for 19x19 go with the Knearest-neighbor representation. Patterns are generated by browsing recor...