We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
This paper reviews recent progress in the development of a computer-based system for supporting improvised group decision making in risky, time-constrained situations. One goal of...
This paper proposes a content-based audio information retrieval and indexing technique based on wavelet transform. The presented approach uses multiresolution decomposition proper...
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...