1364 search results - page 31 / 273 » Sampling Methods for Unsupervised Learning |
ICNC
2005
Springer
15 years 4 months ago
2005
Springer
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
103
click to vote
IFIP12
2008
15 years 15 days ago
2008
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
ACCV
2009
Springer
15 years 5 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
ISCIS
2009
Springer
15 years 5 months ago
2009
Springer
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...