We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
We go beyond simple propositional meaning extraction and present experiments in determining which propositions in text the author believes. We show that deep syntactic parsing hel...
Abstract. This paper describes two procedures for generating very short summaries for documents from the DUC-2003 competition: a chunk extraction method based on syntactic dependen...
Abstract-- This work studies the performance of a stateof-the-art fingerprint recognition technology, in several practical scenarios of interest in forensic casework. First, the di...
Abstract. In this this paper, we present a solution to the simultaneous localization and mapping (SLAM) problem for a robot equipped with a single perspective camera. We track extr...