10 search results - page 2 / 2 » Self-Supervised Learning for Object Recognition based on Ker... |
PSIVT
2009
Springer
13 years 11 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in ...
NIPS
2003
13 years 6 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...