Advances in Statistical Multisource-Multitarget Information Fusion
By Ronald P. S. Mahler. 2014
613 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b962a558c7e334388135dd2be8cdccdce1336ebe
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Citations in the corpus
- An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter (2016, background): “The most popular approaches to multi-object tracking are the joint probabilistic data association filter [1], multiple hypothesis tracking [2], and recently, random finite set (RFS) [3], [4].”
- Model-based classification and novelty detection for point pattern data (2016, methodology): “A random finite set (RFS) X of X is a random variable taking values in F(X ) [19], [11], [12], [20], [13].”
- Model-Based Multiple Instance Learning (2017, unknown): “, [12], [18], [26], [27] and references therein.”