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85
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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 4 months ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs
SSIAI
2000
IEEE
15 years 3 months ago
Two-Dimensional Phase Unwrapping Using Neural Networks
Imaging systems that construct an image from phase information in received signals include synthetic aperture radar (SAR) and optical Doppler tomography (ODT) systems. A fundament...
Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh...
119
Voted
ICDAR
2011
IEEE
13 years 10 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
97
Voted
ICIP
2006
IEEE
16 years 18 days ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
ITNG
2006
IEEE
15 years 5 months ago
Two-Party Private Vector Dominance: The All-Or-Nothing Deal
Alice holds a secret integer a while Bob holds a secret integer b, they want to decide on the predicate a > b with no information revealed other than the result. This is the we...
Maged Hamada Ibrahim