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» Using Induction to Refine Information Retrieval Strategies
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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...
CMMR
2008
Springer
129views Music» more  CMMR 2008»
13 years 9 months ago
Refinement Strategies for Music Synchronization
For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goa...
Sebastian Ewert, Meinard Müller
SIGIR
2005
ACM
14 years 1 months ago
Noun sense induction using web search results
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
ECIR
2009
Springer
13 years 5 months ago
Refining Keyword Queries for XML Retrieval by Combining Content and Structure
Abstract. The structural heterogeneity and complexity of XML repositories makes query formulation challenging for users who have little knowledge of XML. To assist its users, an XM...
Desislava Petkova, W. Bruce Croft, Yanlei Diao
INEX
2004
Springer
14 years 1 months ago
Component Ranking and Automatic Query Refinement for XML Retrieval
Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work[6] we described an algorithm to ...
Yosi Mass, Matan Mandelbrod