1403 search results - page 50 / 281 » Sampling Techniques for Kernel Methods |
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...
CVPR
2010
IEEE
14 years 7 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...
ISPASS
2007
IEEE
15 years 4 months ago
2007
IEEE
For simulation, a tradeoff exists between speed and accuracy. The more instructions simulated from the workload, the more accurate the results — but at a higher cost. To reduce ...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
CLEF
2010
Springer
14 years 10 months ago
2010
Springer
Image classification or annotation is proved difficult for the computer algorithms. The Naive-Bayes Nearest Neighbor method is proposed to tackle the problem, and achieved the stat...