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ECML
2006
Springer
13 years 9 months ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
ICDAR
2009
IEEE
14 years 3 days 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...
PAMI
2006
132views more  PAMI 2006»
13 years 5 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
ACCV
2010
Springer
13 years 12 days ago
Descriptor Learning Based on Fisher Separation Criterion for Texture Classification
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zh...
CVPR
2010
IEEE
14 years 2 months ago
Aggregating local descriptors into a compact image representation
We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usag...
Hervé Jégou, Matthijs Douze, Cordelia Schmid and...