FSKD
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
ICRA
2005
IEEE
13 years 10 months ago
2005
IEEE
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
CIBCB
2005
IEEE
13 years 10 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
SAC
2006
ACM
13 years 10 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
ADMA
2006
Springer
13 years 10 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
ICPR
2006
IEEE
13 years 10 months ago
2006
IEEE
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
MLDM
2007
Springer
13 years 11 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...