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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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Related topics

Related topics

34 relations
AlgorithmAutomatic image annotationBIRCHBinary classification

Broader (2)

Data miningMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
We propose in this letter a new subspace learning method, called uncorrelated discriminant nearest feature line analysis (UDNFLA… 
Highly Cited
2007
Highly Cited
2007
Statistical Pattern Recognition and Built-in Reliability Test for Feature Extraction and Health Monitoring of Electronics Under Shock Loads
The built-in stress test (BIST) is extensively used for diagnostics or identification of failure. The current version of BIST… 
Highly Cited
2006
Highly Cited
2006
Finding Hierarchies of Subspace Clusters
Many clustering algorithms are not applicable to high-dimensional feature spaces, because the clusters often exist only in… 
Highly Cited
2005
Highly Cited
2005
Visual quality measures for Characterizing Planar robot grasps
This paper presents and analyzes 12 quality measures that characterize robotic grips according to their stability and reliability… 
Review
2000
Review
2000
Novelty detection for the identification of abnormalities
The principle of novelty detection offers an approach to the problem of fault detection which only requires the normal class to… 
Highly Cited
1995
Highly Cited
1995
Variable duration hidden markov model and morphological segmentation for handwritten word recognition
This paper describes a complete system for the recognition of unconstrained handwritten words using a continuous density variable… 
Highly Cited
1994
Highly Cited
1994
On the limitations of cepstral features in noise
This paper examines the effects of additive Gaussian noise on the short-term cepstral analysis of speech. We identify three… 
Highly Cited
1992
Highly Cited
1992
Improved acoustic modeling for large vocabulary continuous speech recognition
Highly Cited
1990
Highly Cited
1990
Motion based segmentation
  • Shmuel PelegH. Rom
  • [] Proceedings. 10th International Conference on…
  • 1990
  • Corpus ID: 16650537
An iterative method is described for segmenting image sequences into independently moving regions while computing the motion… 
Highly Cited
1990
Highly Cited
1990
Automated design of linear tree classifiers
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