Abstract: This paper proposes two probability correction functions to make adaptively the transition probability matrix(TPM). In a traditional interacting multiple model(IMM) estimator, TPM is usually ...
Abstract: Computing matrix gradient has become a key aspect in modern signal processing/machine learning, with the recent use of matrix neural networks requiring matrix backpropagation. In this field, ...