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17 years 3 months ago
Within-die Process Variations: How Accurately can They Be Statistically Modeled?
Within-die process variations arise during integrated circuit (IC) fabrication in the sub-100nm regime. These variations are of paramount concern as they deviate the performance of...
Brendan Hargreaves, Henrik Hult, Sherief Reda
ICIP
2008
IEEE
16 years 5 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar
DAC
2008
ACM
16 years 5 months ago
Modeling of failure probability and statistical design of spin-torque transfer magnetic random access memory (STT MRAM) array fo
: Spin-Torque Transfer Magnetic RAM (STT MRAM) is a promising candidate for future universal memory. It combines the desirable attributes of current memory technologies such as SRA...
Jing Li, Charles Augustine, Sayeef S. Salahuddin, ...
121
Voted
DAC
2007
ACM
16 years 5 months ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar
107
Voted
DAC
1998
ACM
16 years 4 months ago
Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics
In this paper we present a statistical method for estimating the maximum power consumption in VLSI circuits. The method is based on the theory of extreme order statistics applied ...
Qinru Qiu, Qing Wu, Massoud Pedram