1419 search results - page 187 / 284 » Approximation Methods for Supervised Learning |
3DPVT
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a novel object recognition approach based on range images. Due to its insensitivity to illumination, range data is well suited for reliable silhouette extracti...
LREC
2010
13 years 11 months ago
2010
We introduce CCASH (Cost-Conscious Annotation Supervised by Humans), an extensible web application framework for cost-efficient annotation. CCASH provides a framework in which cos...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
JCP
2008
13 years 10 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...