This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to ide...
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
The holy grail of a mathematical model of secure encryption is to devise a model that is both faithful in its description of the real world, and yet admits a construction for an en...
Drawing on a growing database of systematic relationships between word-senses, the authors argue that a significant class of these represent Lexical Implication Rules, a set of fo...
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...