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» Inference for Multiplicative Models
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EUROPAR
2006
Springer
15 years 10 months ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
HUMO
2007
Springer
16 years 1 months ago
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
Raquel Urtasun, David J. Fleet, Neil D. Lawrence
ICML
1999
IEEE
16 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
ICASSP
2010
IEEE
15 years 7 months ago
Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
Lukas Burget, Petr Schwarz, Mohit Agarwal, Pinar A...
ACMSE
2004
ACM
16 years 14 days ago
E-R modeler: a database modeling toolkit for Eclipse
Eclipse is a Java integrated development environment (IDE) and tool integration platform that offers numerous extension points for customization through a plug-in architecture. Th...
Song Zhou, Chuanxi Xu, Hui Wu, Jing Zhang, Yuehua ...