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» Input Modeling Using Quantile Statistical Methods
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110
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FOCS
2008
IEEE
15 years 9 months ago
Computing the Tutte Polynomial in Vertex-Exponential Time
The deletion–contraction algorithm is perhaps the most popular method for computing a host of fundamental graph invariants such as the chromatic, flow, and reliability polynomi...
Andreas Björklund, Thore Husfeldt, Petteri Ka...
105
Voted
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
15 years 2 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
99
Voted
MICCAI
2002
Springer
16 years 3 months ago
Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI
The development of Diffusion Tensor MRI has raised hopes in the neuro-science community for in vivo methods to track fiber paths in the white matter. A number of approaches have be...
Mats Björnemo, Anders Brun, Ron Kikinis, Carl...
117
Voted
ICCAD
1994
IEEE
139views Hardware» more  ICCAD 1994»
15 years 6 months ago
Switching activity analysis considering spatiotemporal correlations
This work presents techniques for computing the switching activities of all circuit nodes under pseudorandom or biased input sequences and assuming a zero delay mode of operation....
Radu Marculescu, Diana Marculescu, Massoud Pedram
134
Voted
BMVC
1998
15 years 4 months ago
Gesture Recognition for Visually Mediated Interaction using Probabilistic Event Trajectories
An approach to gesture recognition is presented in which gestures are modelled probabilistically as sequences of visual events. These events are matched to visual input using prob...
Stephen J. McKenna, Shaogang Gong