Sciweavers

1364 search results - page 132 / 273
» Sampling Methods for Unsupervised Learning
Sort
View
GPEM
2000
121views more  GPEM 2000»
15 years 4 months ago
Bayesian Methods for Efficient Genetic Programming
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 ...
Byoung-Tak Zhang
134
Voted
CVPR
2006
IEEE
15 years 11 months ago
Regression-based Hand Pose Estimation from Multiple Cameras
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...
Teófilo Emídio de Campos, David W. M...
EMNLP
2011
14 years 4 months ago
Relaxed Cross-lingual Projection of Constituent Syntax
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...
Wenbin Jiang, Qun Liu, Yajuan Lv
MM
2003
ACM
84views Multimedia» more  MM 2003»
15 years 10 months ago
Temporal event clustering for digital photo collections
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...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
ECCV
2010
Springer
15 years 7 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
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...