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ICANN
2009
Springer
14 years 18 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
ICCV
2003
IEEE
14 years 1 months ago
Plane-based Calibration Algorithm for Multi-camera Systems via Factorization of Homography Matrices
A new calibration algorithm for multi-camera systems using a planar reference pattern is proposed. The algorithm is an extension of Sturm-Maybank-Zhang style plane-based calibrati...
Toshio Ueshiba, Fumiaki Tomita
CLIMA
2010
13 years 6 months ago
Speculative Abductive Reasoning for Hierarchical Agent Systems
Answer sharing is a key element in multi-agent systems as it allows agents to collaborate towards achieving a global goal. However exogenous knowledge of the world can influence e...
Jiefei Ma, Krysia Broda, Randy Goebel, Hiroshi Hos...
ICCAD
2001
IEEE
111views Hardware» more  ICCAD 2001»
14 years 4 months ago
A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devi
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
Michal Rewienski, Jacob White
ICASSP
2011
IEEE
12 years 11 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel