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PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
15 years 4 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
15 years 3 months ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard
NIPS
2003
14 years 11 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
ISVC
2010
Springer
14 years 11 months ago
A Novel Consistency Regularizer for Meshless Nonrigid Image Registration
In nonrigid motion analysis, deformation fields are often modeled using splines defined on a control-point grid. Inspired by recent development of meshfree methods, we propose a no...
Wei Liu, Eraldo Ribeiro
CORR
2010
Springer
100views Education» more  CORR 2010»
14 years 8 months ago
A New Proof of the F5 Algorithm
The F5 algorithm is presented by Faug`ere in 2002. However, Faug`ere have not provide the rigorous proofs so far. In this paper, we will give a new complete proof and hence reveal ...
Yao Sun, Dingkang Wang