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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… Expand
Wikipedia

Related topics

Related topics

34 relations
AlgorithmAutomatic image annotationBIRCHBinary classification
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Broader (2)

Data miningMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
Traditionally, analytical methods have been used to solve imaging problems such as image restoration, inpainting, and… Expand
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Review
2017
Review
2017
Authorship Attribution for Social Media Forensics
The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi hotspots, and distributed networks like Tor… Expand
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Review
2016
Review
2016
Deep Learning in Natural Language Processing
Deep learning has emerged as a highly efficient technique in machine learning to perform text analytics, which includes text… Expand
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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… Expand
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Review
2016
Review
2016
Iris recognition through machine learning techniques: A survey
Abstract Iris recognition is one of the most promising fields in biometrics. Notwithstanding this, there are not so many research… Expand
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Highly Cited
2004
Highly Cited
2004
Support-Vector Networks
The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements… Expand
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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… Expand
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Highly Cited
2002
Highly Cited
2002
Mean Shift: A Robust Approach Toward Feature Space Analysis
A general non-parametric technique is proposed for the analysis of a complex multimodal feature space and to delineate… Expand
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Highly Cited
2001
Highly Cited
2001
Efficient Iris Recognition through Improvement of Feature Vector and Classifier
In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of… Expand
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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… Expand
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