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JMLR
2010
202views more  JMLR 2010»
14 years 8 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
JMLR
2010
169views more  JMLR 2010»
14 years 8 months ago
Matrix-Variate Dirichlet Process Mixture Models
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
Zhihua Zhang, Guang Dai, Michael I. Jordan
PE
2010
Springer
123views Optimization» more  PE 2010»
14 years 8 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley
TSE
2010
123views more  TSE 2010»
14 years 8 months ago
Directed Explicit State-Space Search in the Generation of Counterexamples for Stochastic Model Checking
Current stochastic model checkers do not make counterexamples for property violations readily available. In this paper we apply directed explicit state space search to discrete- a...
Husain Aljazzar, Stefan Leue
TSMC
2010
14 years 8 months ago
Dual Gait Generative Models for Human Motion Estimation From a Single Camera
This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image ...
Xin Zhang, Guoliang Fan