In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and tho...
Pavel Matejka, Ondrej Glembek, Fabio Castaldo, M. ...
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
Main stream operating system kernels lack a strong and reliable mechanism for identifying the running processes and binding them to the corresponding executable applications. In t...
Hussain M. J. Almohri, Danfeng (Daphne) Yao, Denni...
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Automation and integration of business processes are at the heart of contemporary enterprise systems. In the pursuit of this goal, process automation technology is employed at vary...