229 search results - page 11 / 46 » Image Classification Using Marginalized Kernels for Graphs |
ECCV
2010
Springer
14 years 3 days ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
ICIAP
2009
ACM
13 years 5 months ago
2009
ACM
Abstract. The recognition of events in videos is a relevant and challenging task of automatic semantic video analysis. At present one of the most successful frameworks, used for ob...
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 ...
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...