- This paper presents a spectrally-weighted balanced truncation technique for RLC interconnects, a technique needed when the interconnect circuit parameters change as a result of v...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Negative bias temperature instability (NBTI) has come to the forefront of critical reliability phenomena in advanced CMOS technology. In this paper, we propose a fast and accurate...
Hong Luo, Yu Wang 0002, Ku He, Rong Luo, Huazhong ...
Parameter variation in integrated circuits causes sections of a chip to be slower than others. To prevent any resulting timing errors, designers have traditionally designed for th...
Smruti R. Sarangi, Brian Greskamp, Josep Torrellas
Abstract. We propose a new model for image decomposition which separates an image into a cartoon, consisting only of geometric objects, and an oscillatory component, consisting of ...