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» Learning from Multiple Sources of Inaccurate Data
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IJCNN
2007
IEEE
15 years 9 months ago
Two-stage Multi-class AdaBoost for Facial Expression Recognition
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin Kin...
141
Voted
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
15 years 10 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
131
Voted
INFOCOM
2006
IEEE
15 years 9 months ago
Data Synchronization Methods Based on ShuffleNet and Hypercube for Networked Information Systems
– In contrast to a typical single source of data updates in Internet applications, data files in a networked information system are often distributed, replicated, accessed and up...
David J. Houck, Kin K. Leung, Peter Winkler
DLS
2005
176views Languages» more  DLS 2005»
15 years 5 months ago
Dynamic data polyvariance using source-tagged classes
The DDP (Demand-driven/Pruning) analysis algorithm allows us to perform data-flow analyses of programming languages that are dynamically typed and have higher-order control flow...
S. Alexander Spoon, Olin Shivers
140
Voted
SSDBM
2008
IEEE
149views Database» more  SSDBM 2008»
15 years 9 months ago
Query Planning for Searching Inter-dependent Deep-Web Databases
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web. It is desirable to have systems that can pr...
Fan Wang, Gagan Agrawal, Ruoming Jin