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» Extracting general-purpose features from LIDAR data
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IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
14 years 4 months ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...
CORR
2006
Springer
98views Education» more  CORR 2006»
13 years 9 months ago
A field-theory motivated approach to symbolic computer algebra
Field theory is an area in physics with a deceptively compact notation. Although general purpose computer algebra systems, built around generic list-based data structures, can be ...
Kasper Peeters
MIR
2004
ACM
189views Multimedia» more  MIR 2004»
14 years 3 months ago
Repeating pattern discovery and structure analysis from acoustic music data
Music and songs usually have repeating patterns and prominent structure. The automatic extraction of such repeating patterns and structure is useful for further music summarizatio...
Lie Lu, Muyuan Wang, HongJiang Zhang
ER
2003
Springer
98views Database» more  ER 2003»
14 years 2 months ago
Extracting Relations from XML Documents
XML is becoming a prevalent format for data exchange. Many XML documents have complex schemas that are not always known, and can vary widely between information sources and applica...
Eugene Agichtein, C. T. Howard Ho, Vanja Josifovsk...
CANDC
2005
ACM
13 years 9 months ago
Gene selection from microarray data for cancer classification - a machine learning approach
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...