The way computing was done has changed a lot in recent times. Nowadays mobile devices
have been the stealing the show. These devices come in different specifications, that any …

The finite inverted beta mixture model (IBMM) has been proven to be efficient in modeling
positive vectors. Under the traditional variational inference framework, the critical challenge …

As a typical non-Gaussian vector variable, a neutral vector variable contains nonnegative
elements only, and its-norm equals one. In addition, its neutral properties make it …

In modern clinical medicine, electrocardiogram (ECG) is a common diagnosis technique of
cardiovascular diseases. The purpose of this paper is to propose a novel model-based …

Finite beta mixture model (BMM) has been shown to be very flexible and powerful for
bounded support data modeling. However, BMM cannot automatically select the proper …

This paper addresses text-independent speaker identification (SI) based on line spectral
frequencies (LSFs). The LSFs are transformed to differential LSFs (ΔLSF) in order to exploit …

In robotic beating heart surgery, a remote-controlled robot can be used to carry out the
operation while automatically canceling out the heart motion. The surgeon controlling the …

Bayesian estimation of parameters in the Dirichlet mixture process of the Beta‐Liouville
distribution (ie, the infinite Beta‐Liouville mixture model) has recently gained considerable …

Bayesian estimation of finite Gamma mixture model (GaMM) has attracted considerable
attention recently due to its capability of modeling positive data. With conventional …

Efficient quantization of the linear predictive coding (LPC) parameters plays a key role in
parametric speech coding. The line spectral frequency (LSF) representation of the LPC …