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PR
2008
131views more  PR 2008»
15 years 5 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
TIP
2011
137views more  TIP 2011»
14 years 12 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
ICASSP
2011
IEEE
14 years 9 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo
DAC
2000
ACM
16 years 6 months ago
The use of carry-save representation in joint module selection and retiming
Joint module selection and retiming is a powerful technique to optimize the implementation cost and the speed of a circuit specified using a synchronous data-flow graph (DFG). In ...
Zhan Yu, Kei-Yong Khoo, Alan N. Willson Jr.
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 5 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...