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ECIR
2010
Springer
13 years 11 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
JASIS
2006
164views more  JASIS 2006»
13 years 9 months ago
A study of interface support mechanisms for interactive information retrieval
Advances in search technology have meant that search systems can now offer assistance to users beyond simply retrieving a set of documents. For example, search systems are now cap...
Ryen W. White, Ian Ruthven
ICCV
2009
IEEE
15 years 2 months ago
Learning Deformable Action Templates from Crowded Videos
In this paper, we present a Deformable Action Template (DAT) model that is learnable from cluttered real-world videos with weak supervisions. In our generative model, an action ...
Benjamin Yao, Song-Chun Zhu
ICMCS
2010
IEEE
212views Multimedia» more  ICMCS 2010»
13 years 11 months ago
Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
AI
2002
Springer
13 years 9 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro