Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval
- Author(s):
- Alber,I.E. ( Boeing Co. )
- Farber,M.S.
- Yeager,N.
- Xiong,Z.
- Pottenger,W.M.
- Publication title:
- Data mining and knowledge discovery : theory, tools, and technology III : 16-17 April 2001, Orlando, USA
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 4384
- Pub. Year:
- 2001
- Page(from):
- 56
- Page(to):
- 66
- Pages:
- 11
- Pub. info.:
- Bellingham, Wash., USA: SPIE-The International Society for Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819440792 [0819440795]
- Language:
- English
- Call no.:
- P63600/4384
- Type:
- Conference Proceedings
Similar Items:
SPIE-The International Society for Optical Engineering |
7
Conference Proceedings
Feature-adaptive relevance feedback (FA-RF) for content-based image retrieval
SPIE - The International Society of Optical Engineering |
2
Conference Proceedings
Relevance feedback using a Bayesian classifier in content-based image retrieval
SPIE-The International Society for Optical Engineering |
8
Conference Proceedings
A relevance feedback image retrieval scheme using multi-instance and pseudo-image concepts
SPIE - The International Society of Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
SPIE-The International Society for Optical Engineering |
10
Conference Proceedings
A Novel algorithm in relevance feedback in region-based image retrieval system
SPIE-The International Society for Optical Engineering |
5
Conference Proceedings
Attribute visualization and relevance feedback in the content-based image retrieval of medical images
SPIE - The International Society of Optical Engineering |
11
Conference Proceedings
Relevance Feedback in Image Retrieval: A New Approach using Positive and Negative Examples
SPIE-The International Society for Optical Engineering |
6
Conference Proceedings
Logistic regression model for relevance feedback in content-based image retrieval
SPIE-The International Society for Optical Engineering |
SPIE - The International Society of Optical Engineering |