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CORR
2011
Springer
185views Education» more  CORR 2011»
13 years 4 months ago
Large-Scale Collective Entity Matching
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being app...
Vibhor Rastogi, Nilesh N. Dalvi, Minos N. Garofala...
COLING
2010
13 years 4 months ago
Acquisition of Unknown Word Paradigms for Large-Scale Grammars
Unknown words are a major issue for large-scale grammars of natural language. We propose a machine learning based algorithm for acquiring lexical entries for all forms in the para...
Kostadin Cholakov, Gertjan van Noord
INFORMATICALT
2011
89views more  INFORMATICALT 2011»
13 years 4 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
USS
2010
13 years 7 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
ICCV
2009
IEEE
15 years 2 months ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...