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» Interactive Object-Based Retrieval Using Relevance Feedback
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CVPR
2001
IEEE
16 years 4 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
IEAAIE
2004
Springer
15 years 7 months ago
Iterative Semi-supervised Learning: Helping the User to Find the Right Records
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Chris Drummond
ICCV
2007
IEEE
16 years 3 months ago
Interactive Search for Image Categories by Mental Matching
Traditional image retrieval methods require a "query image" to initiate a search for members of an image category. However, when the image database is unstructured, and ...
Marin Ferecatu, Donald Geman
SCCC
1997
IEEE
15 years 6 months ago
Reactive Ranking for Cooperative Databases
A cooperative database allows the user to specify approximate or vague query conditions. A vague query requires the database system to rank the retrieved answers according to thei...
Berthier A. Ribeiro-Neto, Guilherme T. de Assis
TAL
2010
Springer
15 years 10 days ago
Concept Based Representations for Ranking in Geographic Information Retrieval
Abstract. Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR en...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...