In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
In this paper, we propose a new technique, referred to as MultiWafer Virtual Probe (MVP) to efficiently model wafer-level spatial variations for nanoscale integrated circuits. Tow...
Wangyang Zhang, Xin Li, Emrah Acar, Frank Liu, Rob...
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...