20 search results - page 3 / 4 » Object Categorization via Local Kernels |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents how to extract non-linear features by linear PCA. KPCA is effective but the computational cost is the drawback. To realize both non-linearity and low computati...
ESANN
2007
13 years 6 months ago
2007
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
CVPR
2009
IEEE
15 years 11 days ago
2009
IEEE
Higher order spatial features, such as doublets or
triplets have been used to incorporate spatial information
into the bag-of-local-features model. Due to computational
limits, ...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
CVPR
2010
IEEE
13 years 3 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...