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NIPS
2008
13 years 11 months ago
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn th...
Kian Ming Adam Chai, Christopher K. I. Williams, S...
IJCNN
2000
IEEE
14 years 2 months ago
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
Jani Lahtinen, Tomas Martinsen, Jouko Lampinen
RTA
2010
Springer
14 years 1 months ago
Termination of linear bounded term rewriting systems
For the whole class of linear term rewriting systems and for each integer k, we define k-bounded rewriting as a restriction of the usual notion of rewriting. We show that the k-bo...
Irène Durand, Géraud Sénizerg...
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 8 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
ICASSP
2007
IEEE
14 years 4 months ago
Oversampled Inverse Complex Lapped Transform Optimization
When an oversampled FIR filter bank structure is used for signal analysis, a main problem is to guarantee its invertibility and to be able to determine an inverse synthesis filt...
Jérôme Gauthier, Laurent Duval, Jean-...