122 search results - page 24 / 25 » Kernelization for Convex Recoloring |
95
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
94
Voted
ICIP
2009
IEEE
14 years 11 months ago
2009
IEEE
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
104
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
121
Voted
ESANN
2004
15 years 2 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
91
Voted
IOR
2002
15 years 23 days ago
2002
abstract mathematics. My mentor was Professor S. Bochner, a distinguished contributor to harmonic analysis. My classmates included Richard Bellman (who later nurtured the method of...