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» Learning from Multiple Sources of Inaccurate Data
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TRECVID
2008
15 years 1 months ago
Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...
ICWS
2010
IEEE
14 years 10 months ago
Enhancing Scalability and Performance of Mashups Through Merging and Operator Reordering
Abstract—Recently, mashups are gaining tremendous popularity as an important Web 2.0 application. Mashups provide end-users with an opportunity to create personalized Web service...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
16 years 10 days ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 2 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
COLING
2000
15 years 1 months ago
Language Identification In Unknown Signals
This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
John R. Elliott, Eric Atwell, Bill Whyte