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» Quantization of Sparse Representations
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ICIP
2010
IEEE
13 years 5 months ago
Automatic target recognition based on simultaneous sparse representation
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...
Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellap...
CVPR
2003
IEEE
14 years 9 months ago
A Sparse Texture Representation Using Affine-Invariant Regions
This paper introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and nonrigid...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
ICASSP
2009
IEEE
14 years 2 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...
IDA
2009
Springer
14 years 2 months ago
Image Denoising Using Sparse Representations
The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations...
Seyyed Majid Valiollahzadeh, Hamed Firouzi, Massou...
BMVC
1998
13 years 9 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke