In a classification problem, that will be termed static in the sequel to underline the difference from temporal classification problems defined below, a set Sm={(xi,yi),i∈M={1,2,…,m}} of training input–output examples is given. Here xi∈Rn is an input vector of real numbers and yi...
Although the cardinality is balanced, the improved algorithm employs a low clutter density approximation. In this paper, we propose a novel structure for a multi-Bernoulli filter without a cardinality bias, termed as a novel multi-Bernoulli (N-MB) filter. We remove the approximations employed in...