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ICIP
2001
IEEE
14 years 9 months ago
Extraction of rotation invariant signature based on fractal geometry
In this paper, a new method of feature extraction with rotation invariant property is presented. One of the main contributions of this study is that a rotation invariant signature...
Yu Tao, Thomas R. Ioerger, Yuan Yan Tang
PR
2002
104views more  PR 2002»
13 years 7 months ago
A geometric approach for the analysis and computation of the intrinsic camera parameters
The authors of this paper adopted the projected characteristics of the absolute conic in terms of the Pascal's theorem to propose an entirely new camera calibration method ba...
Eduardo Bayro-Corrochano, Bodo Rosenhahn
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
CVPR
2005
IEEE
14 years 1 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 5 months ago
Reduction of Feature Vectors Using Rough Set Theory for Human Face Recognition
In this paper we describe a procedure to reduce the size of the input feature vector. A complex pattern recognition problem like face recognition involves huge dimension of input ...
Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nas...