1364 search results - page 132 / 273 » Sampling Methods for Unsupervised Learning |
119
Voted
GPEM
2000
15 years 2 months ago
2000
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
111
Voted
CVPR
2006
IEEE
15 years 8 months ago
2006
IEEE
The RVM-based learning method for whole body pose estimation proposed by Agarwal and Triggs is adapted to hand pose recovery. To help overcome the difficulties presented by the g...
145
Voted
EMNLP
2011
14 years 2 months ago
2011
We propose a relaxed correspondence assumption for cross-lingual projection of constituent syntax, which allows a supposed constituent of the target sentence to correspond to an u...
124
Voted
MM
2003
ACM
15 years 8 months ago
2003
ACM
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
133
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...