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» Adaptive Selectivity Estimation Using Query Feedback
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WSC
2007
14 years 3 days ago
New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
Stephen E. Chick, Jürgen Branke, Christian Sc...
CISST
2004
164views Hardware» more  CISST 2004»
13 years 11 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
IJCV
1998
238views more  IJCV 1998»
13 years 9 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
ICMCS
2005
IEEE
130views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Error Resilience Transcoding Using Prioritized Intra-Refresh for Video Multicast Over Wireless Networks
In this paper, we propose a two-pass intra-refresh transcoding scheme for inserting error-resilience features to a compressed video at the media gateway of a three-tier streaming ...
Chih-Ming Chen, Yuh-Ruey Lee, Chia-Wen Lin, Yung-C...
CE
2005
60views more  CE 2005»
13 years 9 months ago
Personalized e-learning system using Item Response Theory
Personalized service is important on the Internet, especially in Web-based learning. Generally, most personalized systems consider learner preferences, interests, and browsing beh...
Chih-Ming Chen, Hahn-Ming Lee, Ya-Hui Chen