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» Iterative Learning Control - Monotonicity and Optimization
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IROS
2007
IEEE
114views Robotics» more  IROS 2007»
15 years 4 months ago
Design and control of a second-generation hyper-redundant mechanism
— We present a refined, second-generation design, construction and integration, of a compact hyper-redundant snakelike robot, called “Woodstock.” This robot has substantial a...
H. Ben Brown, Michael Schwerin, Elie A. Shammas, H...
TACO
2008
130views more  TACO 2008»
14 years 9 months ago
Efficient hardware code generation for FPGAs
r acceptance of FPGAs as a computing device requires a higher level of programming abstraction. ROCCC is an optimizing C to HDL compiler. We describe the code generation approach i...
Zhi Guo, Walid A. Najjar, Betul Buyukkurt
JMLR
2012
13 years 11 days ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
ISLPED
2005
ACM
111views Hardware» more  ISLPED 2005»
15 years 3 months ago
Peak temperature control and leakage reduction during binding in high level synthesis
Temperature is becoming a first rate design criterion in ASICs due to its negative impact on leakage power, reliability, performance, and packaging cost. Incorporating awareness o...
Rajarshi Mukherjee, Seda Ogrenci Memik, Gokhan Mem...
ECAI
2004
Springer
15 years 3 months ago
Avatars That Learn How to Behave
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Adam Szarowicz, Paolo Remagnino