1959 search results - page 26 / 392 » Multiple Kernel Clustering. |
107
Voted
AAAI
2010
15 years 4 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
157
Voted
IBPRIA
2009
Springer
15 years 15 days ago
2009
Springer
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
117
Voted
NIPS
2008
15 years 4 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
157
Voted
ICRA
2009
IEEE
15 years 14 days ago
2009
IEEE
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
111
Voted
BIOINFORMATICS
2005
15 years 2 months ago
2005
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...