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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
2010
Highly Cited
2010
We propose an unsupervised method for learning multi-stage hierarchies of sparse convolutional features. While sparse coding has… 
Highly Cited
2004
Highly Cited
2004
We demonstrate that it is possible to perform automatic sentiment classification in the very noisy domain of customer feedback… 
Highly Cited
2004
Highly Cited
2004
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic… 
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
Instead of a standard support vector machine (SVM) that classifies points by assigning them to one of two disjoint half-spaces… 
Highly Cited
2000
Highly Cited
2000
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments… 
Highly Cited
1999
Highly Cited
1999
A non-linear classification technique based on Fisher's discriminant is proposed. The main ingredient is the kernel trick which… 
Highly Cited
1998
Highly Cited
1998
Computational comparison is made between two feature selection approaches for (cid:12)nding a separating plane that discriminates… 
Review
1992
Review
1992
Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at different times… 
Highly Cited
1991
Highly Cited
1991
  • M. TurkA. Pentland
  • 1991
  • Corpus ID: 16193920
An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition…