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FQAS
2009
Springer
186views Database» more  FQAS 2009»
13 years 5 months ago
Dynamically Personalizing Search Results for Mobile Users
Abstract. We introduce a novel situation-aware approach to personalize search results for mobile users. By providing a mobile user with appropriate information that dynamically sat...
Ourdia Bouidghaghen, Lynda Tamine-Lechani, Mohand ...
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
14 years 1 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
MM
2004
ACM
178views Multimedia» more  MM 2004»
14 years 27 days ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
ICIP
2001
IEEE
14 years 9 months ago
Performance prediction for vocabulary-supported image retrieval
The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the use...
Julia Vogel, Bernt Schiele
SPIESR
1998
195views Database» more  SPIESR 1998»
13 years 8 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra