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» On sparse signal representations
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ICCV
2009
IEEE
1611views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Packing bag-of-features
One of the main limitations of image search based on bag-of-features is the memory usage per image. Only a few million images can be handled on a single machine in rea- sonable ...
Herve Jegou, Matthijs Douze, Cordelia Schmid
ICIP
2007
IEEE
16 years 8 months ago
Content Adaptive Heterogeneous Snakes
Active contour (snake) approaches have been proved to be efficient tools to extract object boundary precisely. One drawback of these methods is that state-of-the-art snake algorit...
András Hajdu, Ioannis Pitas
ICIP
2000
IEEE
16 years 8 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
DAC
2000
ACM
16 years 7 months ago
Fast methods for extraction and sparsification of substrate coupling
The sudden increase in systems-on-a-chip designs has renewed interest in techniques for analyzing and eliminating substrate coupling problems. Previous work on the substrate coupl...
Joe Kanapka, Joel R. Phillips, Jacob White
ICML
2007
IEEE
16 years 7 months ago
A transductive framework of distance metric learning by spectral dimensionality reduction
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
Fuxin Li, Jian Yang, Jue Wang