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» Boosting Object Detection Using Feature Selection
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CSDA
2007
152views more  CSDA 2007»
15 years 4 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
WWW
2008
ACM
16 years 5 months ago
Floatcascade learning for fast imbalanced web mining
This paper is concerned with the problem of Imbalanced Classification (IC) in web mining, which often arises on the web due to the "Matthew Effect". As web IC applicatio...
Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Gu...
156
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ICIAR
2004
Springer
15 years 10 months ago
Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings
The automated flaw detection in aluminium castings consists of two steps: a) identification of potential defects using image processing techniques, and b) classification of pote...
Sergio Hernández, Doris Saez, Domingo Mery
TREC
2007
15 years 6 months ago
Question Answering with LCC's CHAUCER-2 at TREC 2007
In TREC 2007, Language Computer Corporation explored how a new, semantically-rich framework for information retrieval could be used to boost the overall performance of the answer ...
Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Ben...
ACL
2010
15 years 2 months ago
A Framework for Figurative Language Detection Based on Sense Differentiation
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
Daria Bogdanova