This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourner...
- Dynamic power consumption in CMOS circuits is usually estimated based on the number of signal transitions. However, when considering glitches, this is not accurate because narrow...
Constrained random simulation is the main workhorse in today’s hardware verification flows. It requires the random generation of input stimuli that obey a set of declaratively...
We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user contr...
With technology scaling down to 90nm and below, many yield-driven design and optimization methodologies have been proposed to cope with the prominent process variation and to incr...
Fang Gong, Hao Yu, Yiyu Shi, Daesoo Kim, Junyan Re...