In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
Abstract. The modelling of landscape environment is a cognitive activity, that still requires novel kinds of spatial representations. This paper introduces a structural categorisat...
Jean-Marie Le Yaouanc, Eric Saux, Christophe Clara...
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
We present a novel approach for visual tracking of structured behaviour as observed in human–computer interaction. An automatically acquired variable-length Markov model is used...
Nikolay Stefanov, Aphrodite Galata, Roger J. Hubbo...
Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title gene...