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» A Nonlinear Predictive State Representation
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ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 6 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
92
Voted
JCNS
2000
104views more  JCNS 2000»
14 years 11 months ago
Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal Membranes
Abstract. Voltage-gated ion channels in neuronal membranes fluctuate randomly between different conformational states due to thermal agitation. Fluctuations between conducting and ...
Peter N. Steinmetz, Amit Manwani, Christof Koch, M...
122
Voted
ACII
2005
Springer
15 years 1 months ago
Simulated Annealing Based Hand Tracking in a Discrete Space
Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper repres...
Wei Liang, Yunde Jia, Yang Liu, Cheng Ge
CVPR
2010
IEEE
15 years 8 months ago
Efficient Additive Kernels via Explicit Feature Maps
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
Andrea Vedaldi, Andrew Zisserman
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
15 years 4 months ago
Control interpretations of products in the Hopf algebra
Abstract— Families of differential operators, like those defining affine, generally nonlinear, control systems are known to have natural Hopf algebra structures. These provide ...
Matthias Kawski