We briefly present the current state-of-the-art approaches for group and extended object tracking with an emphasis on particle methods which have high potential to handle complex...
A microphone array beamformer combined with a post-filter estimation based on spatial smoothing can deliver good noise attenuation preserving the speech component, however, with ...
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the p...
We consider the problem of minimizing the cost of the power required to achieve a specified level of quality-of-service (QoS) on a point-to-point link that may be assisted by an ...
In this paper, we rst present a theorem that HOSVD-based representation of high-order tensor data provides a robust framework that can be used for a uni ed representation of the H...
This paper presents a non-parallel training algorithm for voice conversion based on feature transform Gaussian mixture model (FTGMM), which is a mixture model of joint density spa...
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA)...
Performance of DNA sequencing-by-synthesis systems is fundamentally limited by the stochastic nature of the underlying biochemical process. We develop a novel graphical representa...
A recent approach to surround sound is to perform exact control of the sound field over a region of space. Here, the driving signals for an array of loudspeakers are chosen to cr...