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ICIP
2005
IEEE
16 years 2 months ago
Feature selection with nonparametric statistics
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
Emanuele Franceschi, Francesca Odone, Fabrizio Sme...
111
Voted
ICPR
2002
IEEE
16 years 1 months ago
Feature Selection for Pose Invariant Face Recognition
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
Berk Gökberk, Ethem Alpaydin, Lale Akarun
113
Voted
ISMB
1993
15 years 2 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
PRL
2006
180views more  PRL 2006»
15 years 21 days ago
MutualBoost learning for selecting Gabor features for face recognition
This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
LinLin Shen, Li Bai
99
Voted
ICIP
2000
IEEE
16 years 2 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...