We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
The 3D object recognition from a single or multiple 2D images is a very important problem in the computer vision field with a wide range of real applications. Considering the affi...
In low bit-rate coders, the near-sample and far-sample redundancies of the speech signal are usually removed by a cascade of a shortterm and a long-term linear predictor. These tw...
In this paper, we extend the cross-multiplicative transfer function (CMTF) approach for improved system identification in the shorttime Fourier transform (STFT) domain. The propo...
We give simple algorithms for the construction of generator matrices for minimal tail-biting trellises for a powerful and practical subclass of the linear cyclic codes, from which ...
Priti Shankar, P. N. A. Kumar, Harmeet Singh, B. S...