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» Quantization of Sparse Representations
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CVPR
2012
IEEE
13 years 4 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»
15 years 8 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»
16 years 7 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 4 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
16 years 3 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