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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.
Highly Cited
2014
Highly Cited
2014
Visual word spatial arrangement for image retrieval and classification
O. A. B. Penatti
,
Fernanda B. Silva
,
Eduardo Valle
,
V. Gouet-Brunet
,
R. Torres
Pattern Recognition
2014
Corpus ID: 200296
Highly Cited
2012
Highly Cited
2012
A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters
Partha Pratim Mohanta
,
S. Saha
,
B. Chanda
IEEE transactions on multimedia
2012
Corpus ID: 33100853
We have presented a unified model for detecting different types of video shot transitions. Based on the proposed model, we…
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Highly Cited
2010
Highly Cited
2010
Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
Jiwen Lu
,
Yap-Peng Tan
IEEE Signal Processing Letters
2010
Corpus ID: 8214452
We propose in this letter a new subspace learning method, called uncorrelated discriminant nearest feature line analysis (UDNFLA…
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Highly Cited
2007
Highly Cited
2007
Statistical Pattern Recognition and Built-in Reliability Test for Feature Extraction and Health Monitoring of Electronics Under Shock Loads
P. Lall
,
P. Choudhary
,
S. Gupte
,
J. Hofmeister
IEEE transactions on components and packaging…
2007
Corpus ID: 27205697
The built-in stress test (BIST) is extensively used for diagnostics or identification of failure. The current version of BIST…
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Review
2000
Review
2000
Novelty detection for the identification of abnormalities
L. Tarassenko
,
A. Nairac
,
N. Townsend
,
I. Buxton
,
P. Cowley
International Journal of Systems Science
2000
Corpus ID: 38777381
The principle of novelty detection offers an approach to the problem of fault detection which only requires the normal class to…
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Highly Cited
1995
Highly Cited
1995
Pattern classification with genetic algorithms
S. Bandyopadhyay
,
C. A. Murthy
,
S. Pal
Pattern Recognition Letters
1995
Corpus ID: 45661906
Highly Cited
1995
Highly Cited
1995
Classifier and shift-invariant automatic target recognition neural networks
D. Casasent
,
L. Neiberg
Neural Networks
1995
Corpus ID: 8513572
Highly Cited
1995
Highly Cited
1995
A comparative study of speaker adaptation techniques
L. Neumeyer
,
Ananth Sankar
,
V. Digalakis
EUROSPEECH
1995
Corpus ID: 18893293
In previous work, we showed how to constrain the estimation of continuous mixture-density hidden Markov models (HMMs) when the…
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Highly Cited
1992
Highly Cited
1992
Improved acoustic modeling for large vocabulary continuous speech recognition
Chin-Hui Lee
,
E. Giachin
,
L. Rabiner
,
R. Pieraccini
,
A. Rosenberg
1992
Corpus ID: 62176774
Highly Cited
1990
Highly Cited
1990
Automated design of linear tree classifiers
Youngtae Park
,
J. Sklansky
Pattern Recognition
1990
Corpus ID: 5492789
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