This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
In this paper, we propose a novel video similarity measure model using video time density function (VTDF) and dynamic programming. First, we employ VTDF to describe the density of...
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
In this paper, we investigate joint network and channel decoding algorithms for the multiple-access relay channel. We consider a realistic reference scenario with Rayleigh fading ...