1864 search results - page 56 / 373 » Modeling Classification and Inference Learning |
93
Voted
NIPS
2003
15 years 1 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
115
Voted
CORR
2010
Springer
15 years 19 days ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
115
click to vote
ALT
2010
Springer
14 years 9 months ago
2010
Springer
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
96
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
118
Voted
PAMI
2011
14 years 7 months ago
2011
— This paper proposes a novel method for recognizing faces degraded by blur using deblurring of facial images. The main issue is how to infer a Point Spread Function (PSF) repres...