52 search results - page 6 / 11 » Learning Nonlinear Overcomplete Representations for Efficien... |
83
Voted
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
IJCV
2000
14 years 10 months ago
2000
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
ICIP
2000
IEEE
15 years 11 months ago
2000
IEEE
A finite implementation of the ridgelet transform is presented. The transform is invertible, non-redundant and achieved via fast algorithms. Furthermore we show that this transfor...
111
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PAMI
2012
13 years 16 days ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
100
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IJON
2008
14 years 10 months ago
2008
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study th...