We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
Abstract We are dealing with the optimal, i.e. densest packings of congruent circles into the unit square. In the recent years we have built a numerically reliable, verified method...
Soft error due to ionizing radiation is emerging as a major concern for future technologies. The measurement unit for failures due to soft errors is called Failure-In-Time (FIT) t...
In this paper, we present a technique for rendering displacement mapped geometry using current graphics hardware. Our method renders a displacement by slicing through the enclosin...
In this paper, we propose a new technique for hardware accelerated multi-resolution geometry synthesis. The level of detail for a given viewpoint is created on-the-fly, allowing f...