213 search results - page 18 / 43 » Learning of Variability for Invariant Statistical Pattern Re... |
113
click to vote
KDD
2004
ACM
16 years 2 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
137
click to vote
KDD
2004
ACM
16 years 2 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
140
Voted
SLSFS
2005
Springer
15 years 7 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
120
click to vote
BMCBI
2008
15 years 2 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
119
click to vote
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...