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Target Tracking using a Particle Filter Based on the Projection Method.

, , и . ICASSP (3), стр. 1189-1192. IEEE, (2007)

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Ke Zhai

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Hongchen Zhai

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Wei Zhai

 

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Target Tracking using a Particle Filter Based on the Projection Method., , и . ICASSP (3), стр. 1189-1192. IEEE, (2007)One optimized I/O configuration per HPC application: leveraging the configurability of cloud., , , , и . APSys, стр. 15. ACM, (2011)Visual tracking using sequential importance sampling with a state partition technique., , , , и . ICIP (3), стр. 876-879. IEEE, (2005)A novel nonlinear state estimation technique based on sequential importance sampling and parallel filter banks., и . CCA, стр. 1606-1611. IEEE, (2005)A New Centralized Sensor Fusion-Tracking Methodology Based on Particle Filtering for Power-Aware Systems., , , и . IEEE Trans. Instrum. Meas., 57 (10): 2377-2387 (2008)Cloud versus in-house cluster: evaluating Amazon cluster compute instances for running MPI applications., , , , и . SC State of the Practice Reports, стр. 11:1-11:10. ACM, (2011)ACIC: automatic cloud I/O configurator for parallel applications., , , , , , и . HPDC, стр. 111-112. ACM, (2013)ACIC: automatic cloud I/O configurator for HPC applications., , , , , , и . SC, стр. 38:1-38:12. ACM, (2013)Employing Checkpoint to Improve Job Scheduling in Large-Scale Systems., , , , , , и . JSSPP, том 7698 из Lecture Notes in Computer Science, стр. 36-55. Springer, (2012)Image restoration using a hybrid combination of particle filtering and wavelet denoising., , , , и . ICIP (2), стр. 790-793. IEEE, (2005)