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» Variational Analysis of Pseudospectra
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ASPDAC
2007
ACM
133views Hardware» more  ASPDAC 2007»
13 years 11 months ago
Modeling Sub-90nm On-Chip Variation Using Monte Carlo Method for DFM
- For sub-90nm technology nodes and below, random fluctuations of within-die physical process properties are also known as random on-chip variation (OCV). It impacts on the VLSI/So...
Jun-Fu Huang, Victor C. Y. Chang, Sally Liu, Kelvi...
ICPR
2010
IEEE
13 years 7 months ago
Robust Gait Recognition Against Speed Variation
—Variations in walking speed have a strong impact on the recognition of gait. We propose a method of recognition of gait that is robust against walking-speed variations. It is es...
Muhammad Rasyid Aqmar, Koichi Shinoda, Sadaoki Fur...
JMLR
2010
136views more  JMLR 2010»
13 years 2 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
ICIP
2007
IEEE
14 years 9 months ago
A Variational Approach to Exploit Prior Information in Object-Background Segregation: Application to Retinal Images
One of the main challenges in image segmentation is to adapt prior knowledge about the objects/regions that are likely to be present in an image, in order to obtain more precise d...
Luca Bertelli, Jiyun Byun, B. S. Manjunath
ICCAD
2007
IEEE
108views Hardware» more  ICCAD 2007»
14 years 4 months ago
Novel wire density driven full-chip routing for CMP variation control
— As nanometer technology advances, the post-CMP dielectric thickness variation control becomes crucial for manufacturing closure. To improve CMP quality, dummy feature filling ...
Huang-Yu Chen, Szu-Jui Chou, Sheng-Lung Wang, Yao-...