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» Confidence-weighted linear classification
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TIP
2008
216views more  TIP 2008»
14 years 11 months ago
Texture Analysis and Classification With Linear Regression Model Based on Wavelet Transform
Abstract--The wavelet transform as an important multiresolution analysis tool has already been commonly applied to texture analysis and classification. Nevertheless, it ignores the...
Zhi-Zhong Wang, Jun-Hai Yong
CCECE
2006
IEEE
15 years 5 months ago
Likelihood-Based Algorithms for Linear Digital Modulation Classification in Fading Channels
Blind modulation classification (MC) is an intermediate step between signal detection and demodulation, with both military and civilian applications. MC is a challenging task, esp...
Octavia A. Dobre, Fahed Hameed
GRC
2009
IEEE
15 years 3 months ago
On the uniqueness of the expression for the Choquet integral with linear core in classification
The Choquet integral has been applied in data mining, such as nonlinear multiregressions and nonlinear classifications. Adopting signed efficiency measure in the Choquet integral ...
Weiwei Zhang, Wei Chen, Zhenyuan Wang
107
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CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
15 years 1 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...
HIS
2001
15 years 1 months ago
Linear Discriminant Text Classification in High Dimension
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
András Kornai, J. Michael Richards