166 search results - page 32 / 34 » A Hybrid Learning Approach for Better Recognition of Visual ... |
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
WWW
2004
ACM
14 years 6 months ago
2004
ACM
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
NIPS
2008
13 years 7 months ago
2008
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
SIGMOD
2011
ACM
12 years 8 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...