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TNN
2011
137views more  TNN 2011»
14 years 4 months ago
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators
—The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational...
Ekaterina Vassilieva, Guillaume Pinto, J. Acacio d...
ICIP
2010
IEEE
14 years 7 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
ECCV
2004
Springer
15 years 11 months ago
Face Recognition with Local Binary Patterns
In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small...
Abdenour Hadid, Matti Pietikäinen, Timo Ahone...
ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
15 years 3 months ago
A Geometrically Robust Watermarking Scheme Based on Self-Recognition Watermark Pattern
Presently, almost all of the watermarking algorithms resistant to geometric attacks are dependent on the synchronization. In this paper, a geometrically robust watermarking scheme...
Hefei Ling, Zhengding Lu, Fuhao Zou, Wugang Yuan
ECCV
2006
Springer
15 years 1 months ago
Dynamic Texture Recognition Using Volume Local Binary Patterns
Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures has attracted growing attention. In this paper, a new method for ...
Guoying Zhao, Matti Pietikäinen