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PR
2011
13 years 5 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
HYBRID
2010
Springer
14 years 5 months ago
From synchronous programs to symbolic representations of hybrid systems
In this paper, we present an extension of the synchronous language Quartz by new kinds of variables, actions and statements for modeling the interaction of synchronous systems wit...
Kerstin Bauer, Klaus Schneider
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 3 months ago
A framework for learning coordinated behavior
We sketch a framework for learning structured coordinated behavior, specifically the tactical behavior of Experimental Unmanned Vehicles (XUVs). We conceptualize an XUV unit as a ...
Albert C. Esterline, Chafic BouSaba, Abdollah Homa...
GRAPHITE
2007
ACM
14 years 2 months ago
Anna Ursyn
This review tells about the International Conference on Information Visualization that is held annually in London, England. Themes selected from the Conference Proceedings are foc...
Anna Ursyn