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ECCV
2000
Springer
14 years 9 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
IC
2003
13 years 8 months ago
Concept Based Query Enhancement in the ARCH Search Agent
The quality of the search experience has been an enduring problem for the World Wide Web. One of the well-known difficulties is the tendency of users to use short, under-specified...
Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Rob...
WWW
2009
ACM
14 years 8 months ago
Efficient interactive fuzzy keyword search
Traditional information systems return answers after a user submits a complete query. Users often feel "left in the dark" when they have limited knowledge about the unde...
Shengyue Ji, Guoliang Li, Chen Li, Jianhua Feng
ICCV
2007
IEEE
14 years 9 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
SIGIR
2009
ACM
14 years 1 months ago
Automatic URL completion and prediction using fuzzy type-ahead search
Type-ahead search is a new information-access paradigm, in which systems can find answers to keyword queries “onthe-fly” as a user types in a query. It improves traditional ...
Jiannan Wang, Guoliang Li, Jianhua Feng