Results 151 to 160 of about 3,081,373 (191)

Double reinforcement learning for cluster synchronization of Boolean control networks under denial of service attacks. [PDF]

PLoS One
Deng W, Huang C, Shuai Q.
europepmc   +1 more source

Towards improved fine-mapping of candidate causal variants. [PDF]

Nat Rev Genet
Li Z, Zhou X.
europepmc   +1 more source

Secure aggregation for heterogeneous enterprise data based on federated meta-learning. [PDF]

Sci Rep
Yang C, Ma Y.
europepmc   +1 more source

A New Many-Objective Optimization Approach to Association Rule Mining: The NSGA-II/DE-ARM Algorithm. [PDF]

Biomimetics (Basel)
Kisman ZA, Demir G, Yuksel H, Alatas B.
europepmc   +1 more source

Radar nonlinear multi-target tracking method with parallel PHD filter. [PDF]

Sci Rep
Tao J, Jiang D, Yang J, Han Y, Wang S, Lu X.   +5 more
europepmc   +1 more source

The Labeled Multi-Bernoulli Filter

IEEE Transactions on Signal Processing, 2014
This paper proposes a generalization of the multi- Bernoulli filter called the labeled multi-Bernoulli filter that outputs target tracks. Moreover, the labeled multi-Bernoulli filter does not exhibit a cardinality bias due to a more accurate update approximation compared to the multi-Bernoulli filter by exploiting the conjugate prior form for labeled ...
Klaus Dietmayer, Ba Tuong Võ, Ba-Ngu Võ   +2 more
exaly   +6 more sources

Multi-Scan Generalized Labeled Multi-Bernoulli Filter

2018 21st International Conference on Information Fusion (FUSION), 2018
This paper extends the generalized labeled multi-Bernoulli (GLMB) tracking filter to a batch multi-target tracker. In a labeled random finite set formulation, a multi-target tracking filter propagates the labeled multi-target filtering density while a batch multi-target tracker propagates the labeled multi-target posterior density.
Ba-Tuong Vo, Ba-Ngu Vo
core   +4 more sources

Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement

Signal Processing, 2015
Multi-static Doppler-shift has re-emerged recently in the target tracking literature along with passive sensing, especially for aircraft tracking. Tracking with multi-static Doppler only measurement requires efficient multi-sensor fusion approach and ...
Du Yong Kim, Liang Ma, Xue Kai
exaly   +3 more sources

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

IEEE Transactions on Aerospace and Electronic Systems, 2020
We propose a fast labeled multi-Bernoulli (LMB) filter that uses belief propagation for probabilistic data association. The complexity of our filter scales only linearly in the numbers of Bernoulli components and measurements, while the Performance is ...
Florian Meyer, Thomas Kropfreiter, Franz Hlawatsch   +2 more
exaly   +2 more sources

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Robust Multi-Bernoulli Filtering

IEEE Journal of Selected Topics in Signal Processing, 2013
In Bayesian multi-target filtering knowledge of parameters such as clutter intensity and detection probability profile are of critical importance. Significant mismatches in clutter and detection model parameters results in biased estimates. In this paper we propose a multi-target filtering solution that can accommodate non-linear target models and an ...
Ba-Tuong Vo, Ba-Ngu Vo, Reza Hoseinnezhad, Ronald P. S. Mahler   +3 more
openaire   +3 more sources