76 search results - page 2 / 16 » Learning Component-Level Sparse Representation Using Histogr... |
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
ICIAP
2003
ACM
14 years 6 months ago
2003
ACM
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
In this paper, an automatic target recognition algorithm is presented based on a framework for learning dictionaries for simultaneous sparse signal representation and feature extr...
ICASSP
2010
IEEE
13 years 6 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
13 years 10 months ago
2010
IEEE
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...