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» Complexity Limitations on Quantum Computation
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ESANN
2008
13 years 9 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
BMCBI
2006
169views more  BMCBI 2006»
13 years 8 months ago
Comparative analysis of haplotype association mapping algorithms
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...
PAMI
2002
150views more  PAMI 2002»
13 years 8 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
MMAS
2011
Springer
13 years 3 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
DAC
2004
ACM
14 years 9 months ago
Virtual memory window for application-specific reconfigurable coprocessors
Reconfigurable Systems-on-Chip (SoCs) on the market consist of full-fledged processors and large Field-Programmable Gate-Arrays (FPGAs). The latter can be used to implement the sy...
Miljan Vuletic, Laura Pozzi, Paolo Ienne