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» Super-Resolution with Adaptive Regularization
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DATE
2008
IEEE
182views Hardware» more  DATE 2008»
14 years 4 months ago
A Novel Low Overhead Fault Tolerant Kogge-Stone Adder Using Adaptive Clocking
— As the feature size of transistors gets smaller, fabricating them becomes challenging. Manufacturing process follows various corrective design-for-manufacturing (DFM) steps to ...
Swaroop Ghosh, Patrick Ndai, Kaushik Roy
ICML
2009
IEEE
14 years 10 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
ACL
2007
13 years 11 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
ICIP
2009
IEEE
13 years 7 months ago
Structured pursuits for geometric super-resolution
Super-resolution image zooming is possible when the image has some geometric regularity. We introduce a general class of non-linear inverse estimators, which combines linear estima...
Stéphane Mallat, Guoshen Yu
ICMI
2004
Springer
120views Biometrics» more  ICMI 2004»
14 years 3 months ago
Support for input adaptability in the ICON toolkit
In this paper, we introduce input adaptability as the ability of an application to exploit alternative sets of input devices effectively and offer users a way of adapting input in...
Pierre Dragicevic, Jean-Daniel Fekete