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VLSID
2005
IEEE
123views VLSI» more  VLSID 2005»
15 years 10 months ago
Variance Reduction in Monte Carlo Capacitance Extraction
In this article we address efficiency issues in implementation of Monte Carlo algorithm for 3D capacitance extraction. Error bounds in statistical capacitance estimation are discus...
Shabbir H. Batterywala, Madhav P. Desai
ML
2012
ACM
388views Machine Learning» more  ML 2012»
13 years 5 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
WCNC
2010
IEEE
15 years 1 months ago
Sampling Jitter Cancellation in Direct-Sampling Radio
—This paper addresses the sampling jitter estimation and cancellation task in direct RF sub-sampling type radios. The proposed jitter estimation method is based on carefully inje...
Ville Syrjala, Mikko Valkama
SIGGRAPH
1998
ACM
15 years 1 months ago
A Perceptually Based Adaptive Sampling Algorithm
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
Mark R. Bolin, Gary W. Meyer
76
Voted
CSE
2009
IEEE
15 years 4 months ago
Self-Tuning the Parameter of Adaptive Non-linear Sampling Method for Flow Statistics
—Flow statistics is a basic task of passive measurement and has been widely used to characterize the state of the network. Adaptive Non-Linear Sampling (ANLS)is one of the most a...
Chengchen Hu, Bin Liu