36 search results - page 6 / 8 » Statistics of Natural Images: Scaling in the Woods |
NECO
2008
14 years 9 months ago
2008
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In contrast to traditional Markov random field (MRF) models, we develop a Steerable Random Field (SRF) in which the field potentials are defined in terms of filter responses that ...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
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AIPR
2005
IEEE
15 years 3 months ago
2005
IEEE
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
Spatial Super Resolution (SR) aims to recover fine image details, smaller than a pixel size. Temporal SR aims to recover rapid dynamic events that occur faster than the video fra...