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» Methods for Dynamic Classifier Selection
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EVOW
2006
Springer
14 years 17 days ago
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
Edmundo Bonilla Huerta, Béatrice Duval, Jin...
ICIP
2010
IEEE
13 years 6 months ago
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers
In this paper, we propose an approach for fast pedestrian detection in images. Inspired by the histogram of oriented gradient (HOG) features, a set of multi-scale orientation (MSO...
Qixiang Ye, Jianbin Jiao, Baochang Zhang
IAJIT
2008
207views more  IAJIT 2008»
13 years 9 months ago
Neural Networks and Support Vector Machines Classifiers for Writer Identification Using Arabic Script
: In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
Sami Gazzah, Najoua Essoukri Ben Amara
VLDB
1989
ACM
140views Database» more  VLDB 1989»
14 years 29 days ago
The Effect of Bucket Size Tuning in the Dynamic Hybrid GRACE Hash Join Method
In this paper, we show detailed analysis and performance evaluation of the Dynamic Hybrid GRACE Hash Join Method (DHGH Method) when the tuple distribution in buckets is unbalanced...
Masaru Kitsuregawa, Masaya Nakayama, Mikio Takagi
ICPR
2004
IEEE
14 years 10 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna