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» Feature Selection and Effective Classifiers
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WWW
2009
ACM
14 years 9 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
ICNC
2005
Springer
14 years 2 months ago
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
Zhengxing Sun, Lisha Zhang, Enyi Tang
PAA
2007
13 years 8 months ago
Pairwise feature evaluation for constructing reduced representations
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robe...
GLVLSI
2007
IEEE
172views VLSI» more  GLVLSI 2007»
14 years 3 months ago
The effect of temperature on cache size tuning for low energy embedded systems
Energy consumption is a major concern in embedded computing systems. Several studies have shown that cache memories account for about 40% or more of the total energy consumed in t...
Hamid Noori, Maziar Goudarzi, Koji Inoue, Kazuaki ...
ICANN
2001
Springer
14 years 1 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi