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» Resampling methods for input modeling
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148
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JAIR
1998
198views more  JAIR 1998»
15 years 3 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
148
Voted
JMLR
2010
141views more  JMLR 2010»
14 years 10 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
139
Voted
JMLR
2011
148views more  JMLR 2011»
14 years 10 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
133
Voted
ICCV
1999
IEEE
16 years 5 months ago
Resynthesizing Facial Animation through 3D Model-based Tracking
Given video footage of a person's face, we present new techniques to automatically recover the face position and the facial expression from each frame in the video sequence. ...
Frederic H. Pighin, Richard Szeliski, David Salesi...
133
Voted
SPIN
2000
Springer
15 years 7 months ago
A Language Framework for Expressing Checkable Properties of Dynamic Software
Research on how to reason about correctness properties of software systems using model checking is advancing rapidly. Work on exnite-state models from program source code and on ab...
James C. Corbett, Matthew B. Dwyer, John Hatcliff,...