1364 search results - page 235 / 273 » Sampling Methods for Unsupervised Learning |
NIPS
2008
15 years 15 days 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...
106
Voted
ICML
2010
IEEE
15 years 4 days 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 `...
IDA
2002
Springer
14 years 10 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...
ICCV
2011
IEEE
13 years 11 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...
ICPR
2008
IEEE
15 years 5 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...