725 search results - page 6 / 145 » Invariances in kernel methods: From samples to objects |
ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
86
Voted
AAAI
2012
12 years 12 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
CVPR
1997
IEEE
15 years 11 months ago
1997
IEEE
This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a rep...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...