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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
2016
Highly Cited
2016
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data
This paper proposes and compares feature construction and calibration methods for clustering daily electricity load curves. Such… 
Highly Cited
2008
Highly Cited
2008
UvA-DARE ( Digital Academic Repository ) Kernel codebooks for scene categorization
This paper introduces a method for scene categorization by modeling ambiguity in the popular codebook approach. The codebook… 
Highly Cited
2008
Highly Cited
2008
Optimum Gabor filter design and local binary patterns for texture segmentation
Highly Cited
2006
Highly Cited
2006
Automatic image annotation by incorporating feature hierarchy and boosting to scale up SVM classifiers
The performance of image classifiers largely depends on two inter-related issues:(1)suitable frameworks for image content… 
Highly Cited
2005
Highly Cited
2005
Face recognition using a fuzzy fisherface classifier
Highly Cited
2004
Highly Cited
2004
Distance measures for PCA-based face recognition
Highly Cited
2003
Highly Cited
2003
Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition
Highly Cited
2001
Highly Cited
2001
Segmentation of Fingerprint Images
An important step in an automatic fingerprint recognition system is the segmentation of fingerprint images. The task of a… 
Highly Cited
1998
Highly Cited
1998
Maximum likelihood modeling with Gaussian distributions for classification
  • R. Gopinath
  • Proceedings of the IEEE International Conference…
  • 1998
  • Corpus ID: 2238572
Maximum likelihood (ML) modeling of multiclass data for classification often suffers from the following problems: (a) data… 
Highly Cited
1988
Highly Cited
1988
Higher order associative memories and their optical implementations
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