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CVPR
2000
IEEE
14 years 9 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
ICML
2005
IEEE
14 years 7 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
TNN
2008
133views more  TNN 2008»
13 years 6 months ago
A General Wrapper Approach to Selection of Class-Dependent Features
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...
Lipo Wang, Nina Zhou, Feng Chu
ICPR
2004
IEEE
14 years 8 months ago
Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...
Jinmiao Chen, Narendra S. Chaudhari
EDBT
2011
ACM
231views Database» more  EDBT 2011»
12 years 10 months ago
Data integration with dependent sources
Data integration systems offer users a uniform interface to a set of data sources. Previous work has typically assumed that the data sources are independent of each other; however...
Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy