1364 search results - page 235 / 273 » Sampling Methods for Unsupervised Learning |
108
Voted
NIPS
2008
15 years 3 months ago
2008
Recently, fitted Q-iteration (FQI) based methods have become more popular due to their increased sample efficiency, a more stable learning process and the higher quality of the re...
142
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
124
Voted
IDA
2002
Springer
15 years 1 months ago
2002
Springer
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
117
Voted
ICCV
2011
IEEE
14 years 2 months ago
2011
IEEE
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...
124
Voted
ICPR
2008
IEEE
15 years 8 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...