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ICA
2010
Springer
13 years 9 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
ISLPED
2010
ACM
170views Hardware» more  ISLPED 2010»
13 years 8 months ago
Low-power sub-threshold design of secure physical unclonable functions
The unique and unpredictable nature of silicon enables the use of physical unclonable functions (PUFs) for chip identification and authentication. Since the function of PUFs depen...
Lang Lin, Daniel E. Holcomb, Dilip Kumar Krishnapp...
BMCBI
2007
123views more  BMCBI 2007»
13 years 8 months ago
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data
Background: In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred t...
Zailong Wang, Pearlly Yan, Dustin P. Potter, Chari...
BMCBI
2008
129views more  BMCBI 2008»
13 years 8 months ago
An analytic and systematic framework for estimating metabolic flux ratios from 13C tracer experiments
Background: Metabolic fluxes provide invaluable insight on the integrated response of a cell to environmental stimuli or genetic modifications. Current computational methods for e...
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Za...
CGF
2006
118views more  CGF 2006»
13 years 8 months ago
Texture Adaptation for Progressive Meshes
Level-of-detail modeling is a vital representation for real-time applications. To support texture mapping progressive meshes (PM), we usually allow the whole PM sequence to share ...
Chih-Chun Chen 0002, Jung-Hong Chuang