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» Level-set methods for convex optimization
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IJCAI
2003
15 years 3 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
SIAMJO
2010
108views more  SIAMJO 2010»
15 years 9 days ago
Exposed Faces of Semidefinitely Representable Sets
A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite. Motivated by th...
Tim Netzer, Daniel Plaumann, Markus Schweighofer
CIMAGING
2009
130views Hardware» more  CIMAGING 2009»
14 years 11 months ago
Quantitative phase and amplitude imaging using Differential-Interference Contrast (DIC) microscopy
We present an extension of the development of an alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitude and phase...
Chrysanthe Preza, Joseph A. O'Sullivan
JCP
2006
151views more  JCP 2006»
15 years 1 months ago
Simulated Annealing based Wireless Sensor Network Localization
In this paper, we describe a novel localization algorithm for ad hoc wireless sensor networks. Accurate selforganization and localization capability is a highly desirable character...
Anushiya A. Kannan, Guoqiang Mao, Branka Vucetic
JMLR
2011
148views more  JMLR 2011»
14 years 9 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara