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» Quantization of Sparse Representations
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CVPR
2012
IEEE
11 years 10 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
14 years 2 months ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
ICCV
2009
IEEE
1611views Computer Vision» more  ICCV 2009»
15 years 21 days 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
14 years 9 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
DAC
2000
ACM
14 years 8 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