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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
2019
Review
2019
A survey on Image Data Augmentation for Deep Learning
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are… Expand
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Review
2019
Review
2019
Feature-based aggregation and deep reinforcement learning: a survey and some new implementations
  • D. Bertsekas
  • IEEE/CAA Journal of Automatica Sinica
  • 2019
    • Corpus ID: 4881243
In this paper we discuss policy iteration methods for approximate solution of a finite-state discounted Markov decision problem… Expand
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Review
2018
Review
2018
Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey
We present a survey of recent work on robot manipulation and sensing of deformable objects, a field with relevant applications in… Expand
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Review
2017
Review
2017
Email Classification Research Trends: Review and Open Issues
Personal and business users prefer to use e-mail as one of the crucial sources of communication. The usage and importance of e… Expand
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Review
2017
Review
2017
Classifying Radio Galaxies with the Convolutional Neural Network
We present the application of deep machine learning technique to classify radio images of extended sources on a morphological… 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
2004
Highly Cited
2004
Distinctive Image Features from Scale-Invariant Keypoints
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable… 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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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… Expand
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