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ICDAR
2009
IEEE
14 years 3 months ago
Fisher Kernels for Handwritten Word-spotting
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
Florent Perronnin, José A. Rodríguez...
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
14 years 3 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
14 years 2 months ago
Human Motion Recognition with a Convolution Kernel
Abstract— We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, whic...
Dongwei Cao, Osama Masoud, Daniel Boley
IJCNN
2000
IEEE
14 years 1 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
LICS
1999
IEEE
14 years 1 months ago
Subtyping Recursive Types in Kernel Fun
The problem of defining and checking a subtype relation between recursive types was studied in [3] for a first order type system, but for second order systems, which combine subty...
Dario Colazzo, Giorgio Ghelli