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» Variational Analysis of Pseudospectra
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ICML
2010
IEEE
14 years 7 months ago
Implicit Regularization in Variational Bayesian Matrix Factorization
Matrix factorization into the product of lowrank matrices induces non-identifiability, i.e., the mapping between the target matrix and factorized matrices is not one-to-one. In th...
Shinichi Nakajima, Masashi Sugiyama
BIOSURVEILLANCE
2007
Springer
15 years 4 months ago
Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression
A significant proportion of human diseases, spanning the gamut from viral respiratory disease to arthropod-borne macroparasitic infections of the blood, exhibit distinct and stable...
Eric Lofgren, Nina Fefferman, Meena Doshi, Elena N...
ASPDAC
2007
ACM
98views Hardware» more  ASPDAC 2007»
14 years 11 months ago
A Software Technique to Improve Yield of Processor Chips in Presence of Ultra-Leaky SRAM Cells Caused by Process Variation
- Exceptionally leaky transistors are increasingly more frequent in nano-scale technologies due to lower threshold voltage and its increased variation. Such leaky transistors may e...
Maziar Goudarzi, Tohru Ishihara, Hiroto Yasuura
DSP
2007
14 years 9 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
CORR
2011
Springer
150views Education» more  CORR 2011»
14 years 4 months ago
Total variation regularization for fMRI-based prediction of behaviour
—While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI ...
Vincent Michel, Alexandre Gramfort, Gaël Varo...