Abstract. We introduce a class of embedded-particle models for describing the emergent computational strategies observed in cellular automata (CAs) that were evolved for performing...
Wim Hordijk, James P. Crutchfield, Melanie Mitchel...
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
This paper introduces a statistical model for query-relevant summarization: succinctly characterizing the relevance of a document to a query. Learning parameter values for the pro...
We propose a novel scene image segmentation algorithm based on Perceptual Organization. We develop a Perceptual Organization model by quantitatively incorporating a list of Gestal...
Chang Cheng, Andreas Koschan, David L. Page, Mongi...
We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...