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NN
1998
Springer
13 years 8 months ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
SIGIR
2002
ACM
13 years 8 months ago
Video retrieval using an MPEG-7 based inference network
This work proposes a model for video retrieval based upon the inference network model. The document network is constructed using video metadata encoded using MPEG-7 and captures i...
Andrew Graves, Mounia Lalmas
PE
2007
Springer
112views Optimization» more  PE 2007»
13 years 8 months ago
Multicast inference of temporal loss characteristics
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Vijay Arya, Nick G. Duffield, Darryl Veitch
PAMI
2008
161views more  PAMI 2008»
13 years 8 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
ICST
2010
IEEE
13 years 7 months ago
When BDDs Fail: Conformance Testing with Symbolic Execution and SMT Solving
—Model-based testing is a well known technique that allows one to validate the correctness of software with respect to its model. If a lot of data is involved, symbolic technique...
Elisabeth Jöbstl, Martin Weiglhofer, Bernhard...