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» Evaluating Image Retrieval
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196
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IPM
2006
81views more  IPM 2006»
15 years 7 months ago
An implicit feedback approach for interactive information retrieval
Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this ar...
Ryen W. White, Joemon M. Jose, Ian Ruthven
195
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ICWSM
2010
15 years 6 months ago
Coping With Noise in a Real-World Weblog Crawler and Retrieval System
In this paper we examine the effects of noise when creating a real-world weblog corpus for information retrieval. We focus on the DiffPost (Lee et al. 2008) approach to noise remo...
James Lanagan, Paul Ferguson, Neil O'Hare, Alan F....
226
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EMNLP
2010
15 years 5 months ago
Positional Language Models for Clinical Information Retrieval
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
Florian Boudin, Jian-Yun Nie, Martin Dawes
185
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AHS
2007
IEEE
215views Hardware» more  AHS 2007»
15 years 7 months ago
Online Evolution for a High-Speed Image Recognition System Implemented On a Virtex-II Pro FPGA
Online incremental evolution for a complex high-speed pattern recognition architecture has been implemented on a Xilinx Virtex-II Pro FPGA. The fitness evaluation module is entir...
Kyrre Glette, Jim Torresen, Moritoshi Yasunaga
166
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SAMT
2007
Springer
95views Multimedia» more  SAMT 2007»
16 years 1 months ago
A Study of Vocabularies for Image Annotation
Abstract. In order to evaluate image annotation and object categorisation algorithms, ground truth in the form of a set of images correctly annotated with text describing each imag...
Allan Hanbury