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» On Estimating Mutual Information for Feature Selection
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137
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IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
15 years 7 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
100
Voted
AI
2009
Springer
15 years 8 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
SIGMOD
1999
ACM
110views Database» more  SIGMOD 1999»
15 years 6 months ago
Multi-dimensional Selectivity Estimation Using Compressed Histogram Information
The database query optimizer requires the estimation of the query selectivity to find the most efficient access plan. For queries referencing multiple attributes from the same rel...
Ju-Hong Lee, Deok-Hwan Kim, Chin-Wan Chung
ICIP
2008
IEEE
15 years 8 months ago
Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
Ulas Bagci, Li Bai
104
Voted
HCI
2009
14 years 11 months ago
Feature Extraction and Selection for Inferring User Engagement in an HCI Environment
We present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or...
Stylianos Asteriadis, Kostas Karpouzis, Stefanos D...