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
27
click to vote
ICTAI
2000
IEEE
favorite
Email
discuss
report
84
views
Artificial Intelligence
»
more
ICTAI 2000
»
Using Bayesian classifier in relevant feedback of image retrieval
14 years 3 months ago
Download
www.jos.org.cn
Zhong Su, HongJiang Zhang, Shaoping Ma
Real-time Traffic
Artificial Intelligence
|
ICTAI 2000
|
claim paper
Related Content
»
Relevance Feedback for ContentBased Image Retrieval Using Bayesian Network
»
ObjectBased Image Retrieval Using the Statistical Structure of Images
»
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
»
Integrating Relevance Feedback in Boosting for ContentBased Image Retrieval
»
Incorporate Support Vector Machines to ContentBased Image Retrieval with Relevant Feedback
»
Visual features with semantic combination using Bayesian network for a more effective imag...
»
Support vector machine learning for image retrieval
»
Update Relevant Image Weights for ContentBased Image Retrieval using Support Vector Machin...
»
MUSE A ContentBased Image Search and Retrieval System Using Relevance Feedback
more »
Post Info
More Details (n/a)
Added
31 Jul 2010
Updated
31 Jul 2010
Type
Conference
Year
2000
Where
ICTAI
Authors
Zhong Su, HongJiang Zhang, Shaoping Ma
Comments
(0)
Researcher Info
Artificial Intelligence Study Group
Computer Vision