209 search results - page 16 / 42 » Kernel design for RNA classification using Support Vector Ma... |
122
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
96
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper we demonstrate that the support vector tracking (SVT) framework first proposed by Avidan is equivalent to the canonical Lucas-Kanade (LK) algorithm with a weighted E...
137
Voted
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
125
Voted
TRECVID
2008
15 years 4 months ago
2008
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
139
Voted
MIR
2006
ACM
15 years 8 months ago
2006
ACM
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...