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DICTA
2009
15 years 7 months ago
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data
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...
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan
ER
2008
Springer
105views Database» more  ER 2008»
15 years 7 months ago
A Semantic and Language-Based Model of Landscape Scenes
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...
ICASSP
2010
IEEE
15 years 6 months ago
Variational nonparametric Bayesian Hidden Markov Model
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...
Nan Ding, Zhijian Ou
CVIU
2007
108views more  CVIU 2007»
15 years 6 months ago
A real-time hand tracker using variable-length Markov models of behaviour
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...
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COLING
2002
15 years 6 months ago
A New Probabilistic Model for Title Generation
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...
Rong Jin, Alexander G. Hauptmann