59 search results - page 3 / 12 » Learning Kernel Expansions for Image Classification |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
GBRPR
2007
Springer
13 years 11 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
TIP
2008
13 years 7 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...