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» Visual Feedback in Querying Large Databases
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TKDE
2008
378views more  TKDE 2008»
13 years 6 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
CIARP
2004
Springer
14 years 3 days ago
Advanced Relevance Feedback Query Expansion Strategy for Information Retrieval in MEDLINE
MEDLINE is a very large database of abstracts of research papers in medical domain, maintained by the National Library of Medicine. Documents in MEDLINE are supplied with manually ...
Kwangcheol Shin, Sang-Yong Han, Alexander F. Gelbu...
BDA
2007
13 years 8 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
BTW
2007
Springer
154views Database» more  BTW 2007»
14 years 27 days ago
Integrating Query-Feedback Based Statistics into Informix Dynamic Server
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...
DELOS
2000
13 years 8 months ago
Using the Wavelet Transform to Learn from User Feedback
User feedback has proven very successful to query large multimedia databases. Due to the nature of the data representation and the mismatch between mathematical models and human p...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas