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» Rotational Invariance in Adaptive fMRI Data Analysis
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IJON
2010
150views more  IJON 2010»
13 years 5 months ago
Linear discriminant analysis using rotational invariant L1 norm
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
ICPR
2008
IEEE
14 years 8 months ago
3D rotation invariant local binary patterns
We present a novel method for the fast computation of rotation invariant "local binary patterns" (LBP) on 3D volume data. Unlike a previous publication on 3D LBP, this n...
Hans Burkhardt, Janis Fehr
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
13 years 8 months ago
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
CBMS
2006
IEEE
14 years 1 months ago
Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
Recognition of shapes in images is an important problem in computer vision with application in various medical problems, including robotic surgery and cell analysis. The similarit...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
ICIP
2001
IEEE
14 years 9 months ago
Fast computation of morphological area pattern spectra
An area based counterpart of the binary structural opening spectra is developed. It is shown that these area opening and closing spectra can be computed using an adaptation of Tar...
Arnold Meijster, Michael H. F. Wilkinson