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» Interactive Object-Based Retrieval Using Relevance Feedback
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CVPR
2001
IEEE
14 years 11 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
14 years 2 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
14 years 11 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
14 years 1 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
13 years 7 months 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...