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» From Algorithmic to Subjective Randomness
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CISS
2010
IEEE
14 years 10 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter
CVPR
2012
IEEE
13 years 9 months ago
Learning features on robotic surgical tools
Computer-aided surgical interventions in both manual and robotic procedures have been shown to improve patient outcomes and enhance the skills of the human physician. Tool trackin...
Austin Reiter, Peter K. Allen, Tao Zhao
ICML
2006
IEEE
16 years 7 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...
WWW
2005
ACM
16 years 7 months ago
Migrating web application sessions in mobile computing
The capability to change user agent while working is starting to appear in state of the art mobile computing due to the proliferation of different kinds of devices, ranging from p...
Gerardo Canfora, Giuseppe Di Santo, Gabriele Ventu...
IPMI
2011
Springer
14 years 10 months ago
Learning an Atlas of a Cognitive Process in Its Functional Geometry
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei...