1364 search results - page 239 / 273 » Sampling Methods for Unsupervised Learning |
139
Voted
JMLR
2010
14 years 5 months ago
2010
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
JMLR
2010
14 years 5 months ago
2010
Reliable estimation of the classification performance of learned predictive models is difficult, when working in the small sample setting. When dealing with biological data it is ...
72
Voted
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
ICASSP
2011
IEEE
14 years 2 months ago
2011
IEEE
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
MCS
2010
Springer
15 years 1 months ago
2010
Springer
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...