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TNN
2010
205views Management» more  TNN 2010»
13 years 4 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
CVPR
2011
IEEE
13 years 1 months ago
Discriminative Spatial Pyramid
Spatial Pyramid Representation (SPR) is a widely used method for embedding both global and local spatial information into a feature, and it shows good performance in terms of gene...
Tatsuya Harada, Yoshitaka Ushiku, Yuya Yamashita, ...
CGF
2005
199views more  CGF 2005»
13 years 9 months ago
Glare Generation Based on Wave Optics
This paper proposes a novel and general method of glare generation based on wave optics. A glare image is regarded as a result of Fraunhofer diffraction, which is equivalent to a ...
Masanori Kakimoto, Kaoru Matsuoka, Tomoyuki Nishit...
ICCV
2007
IEEE
14 years 11 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
ICPR
2006
IEEE
14 years 11 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin