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» Introduction to Pattern Recognition
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ECCV
2006
Springer
16 years 6 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang
165
Voted
ICIP
2008
IEEE
16 years 6 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa
247
Voted
ICDE
2009
IEEE
194views Database» more  ICDE 2009»
16 years 6 months ago
Top-k Set Similarity Joins
Abstract-- Similarity join is a useful primitive operation underlying many applications, such as near duplicate Web page detection, data integration, and pattern recognition. Tradi...
Chuan Xiao, Wei Wang 0011, Xuemin Lin, Haichuan Sh...
ICIP
2003
IEEE
16 years 6 months ago
Radon transform inversion via Wiener filtering over the Euclidean motion group
Inthispaper we formulatethe Radon transform asa wnvolution integral over the Euclidean motion group (SE(2)) and provideaminimummeansquare error(MMSE) stochastic deconvolution meth...
Can Evren Yarman, Birsen Yazici
ICIP
2000
IEEE
16 years 6 months ago
A Novel Scheme for Image Rotation for Document Processing
Rotation of the binary image of a document page for correcting the skew in the case of OCR or signature verification systems entails disfigurement of the shape of the characters, ...
Kaushik Mahata, A. G. Ramakrishnan