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» Query expansion using random walk models
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ICIP
2010
IEEE
13 years 7 months ago
Detecting pitching frames in baseball game video using Markov random walk
Pitching is the starting point of an event in baseball games. Hence, locating pitching shots is a critical step in content analysis of a baseball game video. However, pitching fra...
Chih-Yi Chiu, Po-Chih Lin, Wei-Ming Chang, Hsin-Mi...
CSDA
2010
118views more  CSDA 2010»
13 years 10 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
ECIR
2008
Springer
13 years 11 months ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
SIGIR
2008
ACM
13 years 9 months ago
Retrieval and feedback models for blog feed search
Blog feed search poses different and interesting challenges from traditional ad hoc document retrieval. The units of retrieval, the blogs, are collections of documents, the blog p...
Jonathan L. Elsas, Jaime Arguello, Jamie Callan, J...
ICTAI
2006
IEEE
14 years 3 months ago
Outlier Detection Using Random Walks
The discovery of objects with exceptional behavior is an important challenge from a knowledge discovery standpoint and has attracted much attention recently. In this paper, we pre...
H. D. K. Moonesinghe, Pang-Ning Tan