Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
Assessing IC manufacturing process fluctuations and their impacts on IC interconnect performance has become unavoidable for modern DSM designs. However, the construction of parame...
Peng Li, Frank Liu, Xin Li, Lawrence T. Pileggi, S...
Through radiometric compensation, a projector-camera system can project a desired image onto a non-flat and nonwhite surface. This can be achieved by computing the inverse light tr...
Tian-Tsong Ng, Ramanpreet S. Pahwa, Jiamin Bai, To...
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, highorder SC on emerging clus...
Liu Peng, Richard Seymour, Ken-ichi Nomura, Rajiv ...