654 search results - page 55 / 131 » TRUST-TECH based Methods for Optimization and Learning |
112
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
115
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
103
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
141
Voted
JMLR
2010
14 years 7 months ago
2010
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
114
Voted
COLT
2006
Springer
15 years 4 months ago
2006
Springer
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of points in Euclidean space, from a fixed feasible set. After ea...