Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
34
click to vote
CVPR
2004
IEEE
favorite
Email
discuss
report
166
views
Computer Vision
»
more
CVPR 2004
»
Random Sampling Based SVM for Relevance Feedback Image Retrieval
15 years 1 months ago
Download
mmlab.ie.cuhk.edu.hk
Relevance feedback (RF) schemes based on support vector machine (SVM) have been widely used in content-based image retrieval. However, the performance of SVM based RF is often poor when the number of labeled positive feedback samples is small.
Dacheng Tao, Xiaoou Tang
Real-time Traffic
Computer Vision
|
CVPR 2004
|
Positive Feedback Samples
|
Svm Based Rf
|
claim paper
Related Content
»
Support vector machine learning for image retrieval
»
Update Relevant Image Weights for ContentBased Image Retrieval using Support Vector Machin...
»
Sample Selection Strategies for Relevance Feedback in RegionBased Image Retrieval
»
Incorporate Support Vector Machines to ContentBased Image Retrieval with Relevant Feedback
»
Mean version space a new active learning method for contentbased image retrieval
»
Contentbased image retrieval with relevance feedback using random walks
»
Image Retrieval Using TransactionBased and SVMBased Learning in Relevance Feedback Session...
»
Active learning for image retrieval with CoSVM
»
Textural Features and Relevance Feedback for Image Retrieval
more »
Post Info
More Details (n/a)
Added
12 Oct 2009
Updated
12 Oct 2009
Type
Conference
Year
2004
Where
CVPR
Authors
Dacheng Tao, Xiaoou Tang
Comments
(0)
Researcher Info
Computer Vision Study Group
Computer Vision