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» Improving Gradient Estimation by Incorporating Sensor Data
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ICCAD
2006
IEEE
136views Hardware» more  ICCAD 2006»
14 years 1 months ago
An electrothermally-aware full-chip substrate temperature gradient evaluation methodology for leakage dominant technologies with
As CMOS technology scales into the nanometer regime, power dissipation and associated thermal concerns in high-performance ICs due to on-chip hot-spots and thermal gradients are b...
Sheng-Chih Lin, Kaustav Banerjee
TVCG
2011
119views more  TVCG 2011»
12 years 11 months ago
Toward High-Quality Gradient Estimation on Regular Lattices
—In this paper, we present two methods for accurate gradient estimation from scalar field data sampled on regular lattices. The first method is based on the multidimensional Tayl...
Zahid Hossain, Usman R. Alim, Torsten Möller
CVPR
1998
IEEE
14 years 6 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
UAI
2001
13 years 6 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao