Process technology and environment-induced variability of gates and wires in VLSI circuits make timing analyses of such circuits a challenging task. Process variation can have a s...
Statistical static timing analysis (SSTA) plays a key role in determining performance of the VLSI circuits implemented in state-of-the-art CMOS technology. A pre-requisite for emp...
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...