In this paper we consider the important problem of noise analysis of non-autonomous nonlinear RF circuits in presence of input signal phase noise. We formulate this problem as a s...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Existing binaural approaches to speech segregation place an exclusive burden on cues related to the location of sound sources in space. These approaches can achieve excellent perfo...
The spread of influence among individuals in a social network can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between vari...
Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinbe...
This paper focuses on parallelization of the classic static timing analysis (STA) algorithm for verifying timing characteristics of digital integrated circuits. Given ever-increasi...
Akintayo Holder, Christopher D. Carothers, Kerim K...