2193 search results - page 109 / 439 » Properties of Support Vector Machines |
159
click to vote
NIPS
2000
15 years 7 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
169
click to vote
ML
2008
ACM
15 years 6 months ago
2008
ACM
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
163
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
163
click to vote
RECOMB
2007
Springer
16 years 6 months ago
2007
Springer
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
139
click to vote
CVPR
2008
IEEE
16 years 8 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...