We present an algorithm to perform blind, one-microphone speech separation. Our algorithm separates mixtures of speech without modeling individual speakers. Instead, we formulate ...
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Previous research has addressed the scalability and availability issues associated with the construction of cluster-based network services. This paper studies the clustering of re...
Kai Shen, Tao Yang, Lingkun Chu, JoAnne Holliday, ...
We consider efficient strategies for the parallel and distributed computation of large sets of multivariate integrals. These arise in many applications such as computational chem...
Distributed storage systems must provide highly available access to data while maintaining high performance and maximum scalability. In addition, reliability in a storage system is...