This article introduces the idea that information compression by multiple alignment, unification and search (ICMAUS) provides a framework within which natural language syntax may ...
Unknown words are a major issue for large-scale grammars of natural language. We propose a machine learning based algorithm for acquiring lexical entries for all forms in the para...
Cross-language information retrieval (CLIR) today is dominated by techniques that use token-to-token mappings from bilingual dictionaries. Yet, state-of-the-art statistical transl...
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...
Context photography consists of capturing context when taking a still picture, by sensing physical input in addition to light and representing it visually in real time. With this ...