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ECML
2007
Springer
14 years 1 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
SIGDIAL
2010
13 years 5 months ago
Cooperative User Models in Statistical Dialog Simulators
Statistical user simulation is a promising methodology to train and evaluate the performance of (spoken) dialog systems. We work with a modular architecture for data-driven simula...
Meritxell González, Silvia Quarteroni, Gius...
CVPR
2005
IEEE
14 years 9 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
ICCV
2003
IEEE
14 years 9 months ago
Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model
: Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D intra-operative data. Several fac...
Jianhua Yao, Russell H. Taylor
TVCG
2012
162views Hardware» more  TVCG 2012»
11 years 10 months ago
A Statistical Quality Model for Data-Driven Speech Animation
—In recent years, data-driven speech animation approaches have achieved significant successes in terms of animation quality. However, how to automatically evaluate the realism o...
Xiaohan Ma, Zhigang Deng