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PR
2010
129views more  PR 2010»
13 years 6 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
ICASSP
2011
IEEE
13 years 5 days ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
ATAL
2007
Springer
14 years 13 days ago
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
David Wingate, Satinder P. Singh
LSGRID
2004
Springer
14 years 1 months ago
Distributed Cell Biology Simulations with E-Cell System
Many useful applications of simulation in computational cell biology, e.g. kinetic parameter estimation, Metabolic Control Analysis (MCA), and bifurcation analysis, require a large...
Masahiro Sugimoto, Kouichi Takahashi, Tomoya Kitay...
FSS
2007
85views more  FSS 2007»
13 years 8 months ago
Using quasi-continuous histograms for fuzzy main motion estimation in video sequence
This paper presents a new fuzzy framework for main motion estimation in video sequences. The estimation is performed using a fuzzy representation of pixel gray levels. The motion ...
Frederic Comby, Olivier Strauss