In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
FFPF is a network monitoring framework designed for three things: speed (handling high link rates), scalability (ability to handle multiple applications) and flexibility. Multiple...
Herbert Bos, Willem de Bruijn, Mihai-Lucian Criste...
Sequence alignment is a fundamental problem in the computational biology. Many alignment methods have been proposed in the literature, such as pair-wise sequence alignment (2SA), ...
Chun-Yuan Lin, Chen Tai Huang, Yeh-Ching Chung, Ch...
Abstract. This paper summarizes some of the current research challenges arising from multi-channel sequence processing. Indeed, multiple real life applications involve simultaneous...