28 search results - page 3 / 6 » Linear Spatial Pyramid Matching Using Sparse Coding for Imag... |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
ICML
2009
IEEE
14 years 9 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...
PAMI
2012
11 years 11 months ago
2012
—We propose an efficient and robust solution for image set classification. A joint representation of an image set is proposed which includes the image samples of the set and thei...