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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 8 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
CIKM
2005
Springer
13 years 10 months ago
Fast webpage classification using URL features
We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification. This approach is magnitudes faster than typical web page classific...
Min-Yen Kan, Hoang Oanh Nguyen Thi
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filt...
Zhenhua Guo, Lei Zhang, David Zhang
KDD
2006
ACM
165views Data Mining» more  KDD 2006»
14 years 5 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
ICPR
2000
IEEE
13 years 8 months ago
Robust Texture Classification by Subsets of Local Binary Patterns
Recently, a nonparametric approach to texture analysis has been developed, in which the distributions of simple texture measures based on local binary patterns (LBP) are used for ...
Topi Mäenpää, Timo Ojala, Matti Pie...