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ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
15 years 4 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
JMLR
2011
125views more  JMLR 2011»
15 years 1 months ago
Approximate Marginals in Latent Gaussian Models
We consider the problem of improving the Gaussian approximate posterior marginals computed by expectation propagation and the Laplace method in latent Gaussian models and propose ...
Botond Cseke, Tom Heskes
CHI
2011
ACM
14 years 10 months ago
The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and m
Fitts’ law (1954) characterizes pointing speed-accuracy performance as throughput, whose invariance to target distances (A) and sizes (W) is known. However, it is unknown whethe...
Jacob O. Wobbrock, Kristen Shinohara, Alex Jansen
ICML
2009
IEEE
16 years 7 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
SLE
2009
Springer
16 years 1 months ago
Ontological Metamodeling with Explicit Instantiation
Model Driven Engineering (MDE) is a promising paradigm for development. It raises the level of abstraction in software development by treating models as primary artifacts. The prac...
Alfons Laarman, Ivan Kurtev