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» Two Dimensional Compressive Classifier for Sparse Images
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IEEECGIV
2009
IEEE
13 years 11 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
ICIP
2000
IEEE
14 years 6 months ago
Image Compression with Geometrical Wavelets
We introduce a sparse image representation that takes advantage of the geometrical regularity of edges in images. A new class of one-dimensional wavelet orthonormal bases, called ...
Erwan Le Pennec, Stéphane Mallat
DAGM
2007
Springer
13 years 8 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
CW
2002
IEEE
13 years 9 months ago
Efficient Data Compression Methods for Multi-Dimensional Sparse Array Operations
For sparse array operations, in general, the sparse arrays are compressed by some data compression schemes in order to obtain better performance. The Compressed Row/Column Storage...
Chun-Yuan Lin, Yeh-Ching Chung, Jen-Shiuh Liu
ICASSP
2011
IEEE
12 years 8 months ago
Adjugate pairs of sparse arrays for sampling two dimensional signals
Sparse sampling with coprime lattice arrays was introduced recently in the literature. It has been shown that a dense coarray can be constructed from such a pair of arrays, and is...
Palghat P. Vaidyanathan, Piya Pal