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SBBD
2000
168views Database» more  SBBD 2000»
13 years 5 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
ICPR
2002
IEEE
13 years 9 months ago
Extracting Fractal Features for Analyzing Protein Structure
This paper is concerned with the development of a computational methodology based on fractal geometry for determining 3D structure of protein with imagery projection operations. I...
Yu Tao, Thomas R. Ioerger, James C. Sacchettini
ICIP
2009
IEEE
14 years 5 months ago
A Fractal Dimension Based Optimal Wavelet Packet Analysis Technique For Classification Of Meningioma Brain Tumours
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...
ICIP
2010
IEEE
13 years 2 months ago
Dual-tree wavelets for estimation of locally varying and anisotropic fractal dimension
The dual-tree wavelet transform is here applied to the problem of fractal dimension estimation. The Hurst parameter of fractional Brownian surfaces is estimated using various wave...
James D. B. Nelson, Nick G. Kingsbury
CIKM
2010
Springer
13 years 2 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...