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» Anytime Measures for Top-k Algorithms
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ICDE
2006
IEEE
152views Database» more  ICDE 2006»
14 years 9 months ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin
WWW
2009
ACM
14 years 8 months ago
Fast dynamic reranking in large graphs
In this paper we consider the problem of re-ranking search results by incorporating user feedback. We present a graph theoretic measure for discriminating irrelevant results from ...
Purnamrita Sarkar, Andrew W. Moore
SIGIR
2012
ACM
11 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
MM
2004
ACM
104views Multimedia» more  MM 2004»
14 years 1 months ago
A robust and accumulator-free ellipse hough transform
The ellipse Hough transform (EHT) is a widely-used technique. Most of the previous modifications to the standard EHT improved either the voting procedure that computes the absolut...
Xinguo Yu, Hon Wai Leong, Changsheng Xu, Qi Tian
ALENEX
2010
117views Algorithms» more  ALENEX 2010»
13 years 9 months ago
Untangling the Braid: Finding Outliers in a Set of Streams
Monitoring the performance of large shared computing systems such as the cloud computing infrastructure raises many challenging algorithmic problems. One common problem is to trac...
Chiranjeeb Buragohain, Luca Foschini, Subhash Suri