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Inter-Segmental Coordination During Soccer Instep Kicking: A Vector-Coding Comparison Between Experienced Athletes and Novices. [PDF]
Zhang L, Zhang M, Liu H.
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Validation of a Markerless Multi-Camera Pipeline for Bouldering Fall Kinematics. [PDF]
Carretier N +8 more
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Loading strategies for countermovement jump: an exploratory comparison of modality and load. [PDF]
Zhang L, Zhu H, Wang Q, Bao D, Zhou J.
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Multi-PW laser-driven proton acceleration using a plasma-lens target. [PDF]
Horný V, Doria D.
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Parsimony accelerated Maximum Likelihood searches
International Journal of Computational Biology and Drug Design, 2008Phylogenetic search is a key tool used in a variety of biological research endeavours. However, this search problem is known to be computationally difficult, due to the astronomically large search space, making the use of heuristic methods necessary. The performance of heuristic methods for finding Maximum Likelihood (ML) trees can be improved by using
Kenneth, Sundberg +4 more
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Maximum likelihood estimation of target acceleration
The 23rd IEEE Conference on Decision and Control, 1984Maximum Likelihood Failure Detection (MLFD) theory is used to estimate the acceleration of a moving target performing an evasive maneuver during an air-to-air interception. Target acceleration is shown to introduce a bias in the residual of the navigation (Kalman) filter.
David Haessig, Bernard Friedland
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Maximum acceleration design, digital optimal guidance
Guidance and Control Conference, 1981This paper presents a new digital missile guidance law for air-to-air intercept which is predictive in philosophy; that is, at every guidance cycle the guidance law e stimates a time of intercept, predicts the position of the target at that time of intercept, and then calculates the future steering policy for the missile that yields solution of the i ...
J. REID, T. FURLOUGH, J. YOUNG
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Applications of Accelerated Maximum Entropy Algorithm
Frontiers in Optics 2004/Laser Science XXII/Diffractive Optics and Micro-Optics/Optical Fabrication and Testing, 2004We describe an accelerated maximum entropy algorithm with wide usefulness in digital image processing. Illustrations to be described in this talk include applications to extend depth of field, imaging through turbulence, and imaging through tissue. We have found that image quality obtained is substantially better than that using inverse filter.
Wanli Chi, Nicholas George
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On The Acceleration Of Maximum Likelihood Algorithms
SPIE Proceedings, 1988Maximum likelihood algorithms have the potential of producing improved estimates with high accuracy. The computational requirements often become prohibitively expensive, however, because of the slow rates of convergence of these algorithms. This paper discusses three classes of acceleration techniques by which convergence to the maximum likelihood ...
Charles E. Metz, Chin-Tu Chen
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