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Feature vector
Known as:
Feature space
, Attribute construction
, Feature construction
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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
Algorithm
Automatic image annotation
BIRCH
Binary classification
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Broader (2)
Data mining
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2010
Review
2010
A Survey on Transfer Learning
Sinno Jialin Pan
,
Qiang Yang
IEEE Transactions on Knowledge and Data…
2010
Corpus ID: 740063
A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same…
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Highly Cited
2004
Highly Cited
2004
Support-Vector Networks
Corinna Cortes
,
V. Vapnik
Machine Learning
2004
Corpus ID: 52874011
The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements…
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Highly Cited
2004
Highly Cited
2004
Distinctive Image Features from Scale-Invariant Keypoints
G. LoweDavid
2004
Corpus ID: 174065
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable…
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Highly Cited
2004
Highly Cited
2004
Support-vector networks
Corinna Cortes
,
V. Vapnik
Machine Learning
2004
Corpus ID: 206787478
Thesupport-vector network is a new learning machine for two-group classification problems. The machine conceptually implements…
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Highly Cited
2004
Highly Cited
2004
Distinctive Image Features from Scale-Invariant Keypoints
D. Lowe
International Journal of Computer Vision
2004
Corpus ID: 221242327
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable…
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Highly Cited
2003
Highly Cited
2003
An Introduction to Variable and Feature Selection
I. Guyon
,
A. Elisseeff
J. Mach. Learn. Res.
2003
Corpus ID: 379259
Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or…
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Highly Cited
2001
Highly Cited
2001
Efficient Iris Recognition through Improvement of Feature Vector and Classifier
Shinyoung Lim
,
Kwanyong Lee
,
O. Byeon
,
Taiyun Kim
2001
Corpus ID: 16818600
In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of…
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Highly Cited
1998
Highly Cited
1998
Feature Selection via Concave Minimization and Support Vector Machines
P. Bradley
,
O. Mangasarian
ICML
1998
Corpus ID: 5885974
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between…
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Highly Cited
1997
Highly Cited
1997
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
P. Belhumeur
,
J. Hespanha
,
D. Kriegman
IEEE Trans. Pattern Anal. Mach. Intell.
1997
Corpus ID: 30582
We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression…
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Highly Cited
1996
Highly Cited
1996
Support Vector Regression Machines
H. Drucker
,
C. Burges
,
L. Kaufman
,
Alex Smola
,
V. Vapnik
NIPS
1996
Corpus ID: 743542
A new regression technique based on Vapnik's concept of support vectors is introduced. We compare support vector regression (SVR…
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