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CVPR
1997
IEEE
16 years 7 months ago
Global Training of Document Processing Systems Using Graph Transformer Networks
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Léon Bottou, Yoshua Bengio, Yann LeCun
ICPR
2004
IEEE
16 years 6 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
15 years 11 months ago
Removal of adherent noises from image sequences by spatio-temporal image processing
Abstract— This paper describes a method for removing adherent noises from image sequences. In outdoor environments, it is often the case that scenes taken by a camera are deterio...
Atsushi Yamashita, Isao Fukuchi, Toru Kaneko, Kenj...
ICDE
2007
IEEE
229views Database» more  ICDE 2007»
15 years 11 months ago
Data-quality Guided Load Shedding for Expensive In-Network Data Processing
In situ wireless sensor networks, not only have to route sensed data from sources to destinations, but also have to filter and fuse observations to eliminate potentially irreleva...
Lina Peng, K. Selçuk Candan
MKM
2005
Springer
15 years 10 months ago
Processing Textbook-Style Matrices
In mathematical textbooks matrices are often represented as objects of indefinite size containing abbreviations. To make the knowledge implicitly given in these representations av...
Alan P. Sexton, Volker Sorge