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» Self-Explanatory Simulations: Scaling Up to Large Models
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VIS
2004
IEEE
218views Visualization» more  VIS 2004»
15 years 11 months ago
Pixel-Exact Rendering of Spacetime Finite Element Solutions
Computational simulation of time-varying physical processes is of fundamental importance for many scientific and engineering applications. Most frequently, time-varying simulation...
Michael Garland, Robert Haber, Yuan Zhou
ASPDAC
1995
ACM
110views Hardware» more  ASPDAC 1995»
15 years 1 months ago
Current and charge estimation in CMOS circuits
: CMOS circuits have significant amounts of dynamic short-circuit (or through) current. This can be as large as 20% of the total in well-designed circuits, and up to 80% of the tot...
Sanjay Dhar, Dave J. Gurney
DAGM
2008
Springer
14 years 11 months ago
Physically Consistent Variational Denoising of Image Fluid Flow Estimates
Abstract. High-speed image measurements of fluid flows define an important field of research in experimental fluid mechanics and the related industry. Numerous competing methods ha...
Andrey Vlasenko, Christoph Schnörr
ICML
2008
IEEE
15 years 10 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
15 years 4 months ago
DASH: A dynamic 16g hexapedal robot
—DASH is a small, lightweight, power autonomous robot capable of running at speeds up to 15 body lengths per second (see video). Drawing inspiration from biomechanics, DASH has a...
Paul Birkmeyer, Kevin Peterson, Ronald S. Fearing