65 search results - page 9 / 13 » Is Nonparametric Learning Practical in Very High Dimensional... |
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
JMLR
2012
11 years 10 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
SEAL
1998
Springer
13 years 11 months ago
1998
Springer
The allocation of office space in any large institution is usually a problematical issue, which often demands a substantial amount of time to perform manually. The result of this a...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...