FAQ

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… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1965-2018
01000200019652018

Related topics

Related topics

34 relations
AlgorithmAutomatic image annotationBIRCHBinary classification
(More)

Broader (2)

Data miningMachine learning

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Feature vector
Algorithm
Machine learning
Data mining
Feature extraction
Pattern recognition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
A survey of transfer learning
Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional… (More)
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Highly Cited
2003
Highly Cited
2003
An Introduction to Variable and Feature Selection
Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or… (More)
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Highly Cited
2002
Highly Cited
2002
Mean Shift: A Robust Approach Toward Feature Space Analysis
A general nonparametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily… (More)
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Highly Cited
2002
Highly Cited
2002
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
This paper introduces a novel Gabor-Fisher (1936) classifier (GFC) for face recognition. The GFC method, which is robust to… (More)
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Highly Cited
2002
Highly Cited
2002
Feature selection using support vector machines
Text categorization is the task of classifying natural language documents into a set of predefined categories. Documents are… (More)
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Highly Cited
2001
Highly Cited
2001
Efficient Iris Recognition through Improvement of Feature Vector and Classifier
Shinyoung Lim et al. 61 In this paper, we propose an efficient method for personal identification by analyzing iris patterns that… (More)
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Highly Cited
1999
Highly Cited
1999
Image-to-word transformation based on dividing and vector quantizing images with words
We propose a method to make a relationship between images and words. We adopt two processes in the method, one is a process to… (More)
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Highly Cited
1998
Highly Cited
1998
Feature Selection via Concave Minimization and Support Vector Machines
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between… (More)
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Highly Cited
1996
Highly Cited
1996
Support Vector Regression Machines
A new regression technique based on Vapnik’s concept of support vectors is introduced. We compare support vector regression (SVR… (More)
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Highly Cited
1995
Highly Cited
1995
Support-vector networks
Thesupport-vector network is a new learning machine for two-group classification problems. The machine conceptually implements… (More)
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