Zobrazeno 1 - 10
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pro vyhledávání: '"Mahler, Ronald"'
Autor:
Mahler, Ronald
The paper [12] discussed two approaches for multitarget tracking (MTT): the generalized labeled multi-Bernoulli (GLMB) filter and three Poisson multi-Bernoulli mixture (PMBM) filters. The paper [13] discussed two frameworks for multitarget trajectory
Externí odkaz:
http://arxiv.org/abs/2401.17314
Autor:
Mahler, Ronald
This paper addresses theoretically correct vs. incorrect ways to apply information theory to point processes.
Comment: 4 pages, two columns, no figures, no conference (this is a preprint)
Comment: 4 pages, two columns, no figures, no conference (this is a preprint)
Externí odkaz:
http://arxiv.org/abs/2204.08285
Autor:
Mahler, Ronald
This paper systematically compares two mathematical foundations for multitarget tracking: labeled random finite sets (LRFS's) and trajectory random finite sets (TRFS's).
Comment: 7 pages, 0 figures, preprint (not yet published)
Comment: 7 pages, 0 figures, preprint (not yet published)
Externí odkaz:
http://arxiv.org/abs/2203.10972
Autor:
Mahler, Ronald
This is a shortened, clarified, and mathematically more rigorous version of the original arXiv version. Its first four findings remain unchanged from the original: 1) measurement-to-track associations (MTAs) in multitarget tracking (MTT) are heuristi
Externí odkaz:
http://arxiv.org/abs/1701.07078
Autor:
Mahler, Ronald P.S
This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systemati
Autor:
Mahler, Ronald
The finite-set statistics (FISST) approach to multitarget tracking was introduced in the mid-1990s. Its current extended form dates from 2001. In 2008, an "elementary" alternative to FISST was proposed, based on "finite point processes" rather than R
Externí odkaz:
http://arxiv.org/abs/1603.02373
Publikováno v:
IEEE Trans. Inf. Theory (2015), vol. 61, no. 8, pp. 4475-4485
In this paper, we extend the notion of Cauchy-Schwarz divergence to point processes and establish that the Cauchy-Schwarz divergence between the probability densities of two Poisson point processes is half the squared $\mathbf{L^{2}}$-distance betwee
Externí odkaz:
http://arxiv.org/abs/1312.6224