5302 search results - page 161 / 1061 » Learning How to Separate |
169
Voted
JMLR
2006
15 years 3 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
125
Voted
JETAI
1998
15 years 3 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
176
Voted
PKDD
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
151
Voted
PAMI
2011
14 years 6 months ago
2011
In this paper we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques cal...
138
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...