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ICANN
2011
Springer
14 years 5 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
WWW
2003
ACM
16 years 3 months ago
Content extraction signatures using XML digital signatures and custom transforms on-demand
Content Extraction Signatures (CES) enable selective disclosure of verifiable content, provide privacy for blinded content, and enable the signer to specify the content the docume...
David Squire, Laurence Bull, Peter Stañski
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 8 months ago
Transforming Semi-Honest Protocols to Ensure Accountability
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. This is especially important in the field of privacy...
Wei Jiang, Chris Clifton
SIGGRAPH
2010
ACM
15 years 6 months ago
A deformation transformer for real-time cloth animation
Achieving interactive performance in cloth animation has significant implications in computer games and other interactive graphics applications. Although much progress has been m...
Wei-Wen Feng, Yizhou Yu, Byung-Uck Kim
ICPR
2006
IEEE
16 years 3 months ago
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
Alexei Pozdnoukhov, Samy Bengio