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» Invariances in kernel methods: From samples to objects
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ICML
2004
IEEE
14 years 9 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
CVPR
2010
IEEE
14 years 5 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
CGF
2008
161views more  CGF 2008»
13 years 9 months ago
The Beam Radiance Estimate for Volumetric Photon Mapping
We present a new method for efficiently simulating the scattering of light within participating media. Using a theoretical reformulation of volumetric photon mapping, we develop a...
Wojciech Jarosz, Matthias Zwicker, Henrik Wann Jen...
BMVC
2010
13 years 7 months ago
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
Ling Shao, Xiuli Chen
FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
14 years 21 days ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic