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Update relevant image weights for content-based image retrieval using support vector machines
Q. Tian, P. Hong, T. S. Huang
Coordinated Science Lab
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peer-review
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Dive into the research topics of 'Update relevant image weights for content-based image retrieval using support vector machines'. Together they form a unique fingerprint.
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Keyphrases
Content-based Image Retrieval
100%
Feature Weight
16%
Hyperplane
16%
Image Weight
100%
Interactive Content
16%
Large Distances
16%
Learning Results
16%
Low-level Features
16%
MARS®
16%
Negative Feedback
16%
Positive Feedback
50%
Positive Instances
16%
Preference Weights
16%
Relevance Feedback
33%
Relevant Images
100%
Retrieval Methods
16%
Support Vector
16%
Support Vector Machine
100%
Support Vector Machine Learning
33%
User Feedback
16%
Weight-based
16%
Computer Science
Content-based image retrieval
100%
Experimental Result
33%
Hyperplanes
33%
Learning Result
33%
Machine Learning
66%
Positive Example
33%
Relevance Feedback
66%
Retrieval Process
33%
Support Vector
33%
Support Vector Machine
100%