343 search results - page 4 / 69 » Mercer Kernels for Object Recognition with Local Features |
130
Voted
IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
152
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
135
Voted
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
132
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
210
Voted
MM
2010
ACM
15 years 3 months ago
2010
ACM
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...