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ICANN
2009
Springer
14 years 10 days ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
ICIP
2005
IEEE
14 years 9 months ago
An adaptive linear system framework for image distortion analysis
We describe a framework for decomposing the distortion between two images into a linear combination of components. Unlike conventional linear bases such as those in Fourier or wav...
Zhou Wang, Eero P. Simoncelli
JSAC
2006
199views more  JSAC 2006»
13 years 7 months ago
IDES: An Internet Distance Estimation Service for Large Networks
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
Yun Mao, Lawrence K. Saul, Jonathan M. Smith
ACL
2008
13 years 9 months ago
Mixture Model POMDPs for Efficient Handling of Uncertainty in Dialogue Management
In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...
James Henderson, Oliver Lemon
AI50
2006
13 years 11 months ago
Adaptive Multi-modal Sensors
Compressing real-time input through bandwidth constrained connections has been studied within robotics, wireless sensor networks, and image processing. When there are bandwidth con...
Kyle Ira Harrington, Hava T. Siegelmann