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CVPR
2011
IEEE
13 years 3 months ago
Modeling the joint density of two images under a variety of transformations
We describe a generative model of the relationship between two images. The model is defined as a factored threeway Boltzmann machine, in which hidden variables collaborate to de...
Joshua Susskind, Roland Memisevic, Geoffrey Hinton...
NIPS
1994
13 years 9 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
ICANN
2011
Springer
12 years 11 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
ECML
2007
Springer
14 years 1 months ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban
IPPS
2002
IEEE
14 years 20 days ago
Compile/Run-Time Support for Thread Migration
This paper describes a generic mechanism to migrate threads in heterogeneous distributed environments. To maintain high portability and flexibility, thread migration is implement...
Hai Jiang, Vipin Chaudhary