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TRECVID
2008
14 years 11 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
ACL
2010
14 years 8 months ago
Learning Phrase-Based Spelling Error Models from Clickthrough Data
This paper explores the use of clickthrough data for query spelling correction. First, large amounts of query-correction pairs are derived by analyzing users' query reformula...
Xu Sun, Jianfeng Gao, Daniel Micol, Chris Quirk
AUIC
2004
IEEE
15 years 1 months ago
From Snark to Park: Lessons Learnt Moving Pervasive Experiences From Indoors to Outdoors
Pervasive technologies are increasingly being developed and used outdoors in different and innovative ways. However, designing user experiences for outdoor environments presents m...
Eric Harris, Geraldine Fitzpatrick, Yvonne Rogers,...
DAC
1997
ACM
15 years 2 months ago
Generation of Software Tools from Processor Descriptions for Hardware/Software Codesign
An experimental set of tools that generate instruction set simulators, assemblers, and disassemblers from a single description was developed to test if retargetable development to...
Mark R. Hartoog, James A. Rowson, Prakash D. Reddy...
ECCV
2006
Springer
15 years 12 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...