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Feature vector

Known as: Feature space, Attribute construction, Feature construction 
In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many… 
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that… 
Highly Cited
2010
Highly Cited
2010
We present the Viewpoint Feature Histogram (VFH), a descriptor for 3D point cloud data that encodes geometry and viewpoint. We… 
Highly Cited
2008
Highly Cited
2008
Feature ranking is useful to gain knowledge of data and identify relevant features. This article explores the performance of… 
Highly Cited
2008
Highly Cited
2008
This paper introduces a method for scene categorization by modeling ambiguity in the popular codebook approach. The codebook… 
Highly Cited
2002
Highly Cited
2002
Abstract: Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak… 
Highly Cited
2001
Highly Cited
2001
In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of… 
Highly Cited
2001
Highly Cited
2001
We present two solutions for the scale selection problem in computer vision. The first one is completely nonparametric and is… 
Highly Cited
2001
Highly Cited
2001
An important step in an automatic fingerprint recognition system is the segmentation of fingerprint images. The task of a… 
Highly Cited
1999
Highly Cited
1999
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy…