3256 search results - page 210 / 652 » Learning Linear Transformations |
150
Voted
ICCV
2011
IEEE
14 years 2 months ago
2011
IEEE
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
116
Voted
ESANN
2006
15 years 4 months ago
2006
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
108
click to vote
MICAI
2009
Springer
15 years 9 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
113
click to vote
CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
137
click to vote
MICAI
2007
Springer
15 years 8 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...