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119
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JMLR
2010
129views more  JMLR 2010»
14 years 7 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
94
Voted
ICIAP
2005
ACM
16 years 22 days ago
Robust Face Recognition Based on Part-Based Localized Basis Images
In order for a subspace projection based method to be robust to local distortion and partial occlusion, the basis images generated by the method should exhibit a part-based local r...
Jongsun Kim, Juneho Yi
107
Voted
MP
2006
137views more  MP 2006»
15 years 17 days ago
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
Yu-Hong Dai, Roger Fletcher
120
Voted
MCS
2007
Springer
15 years 6 months ago
An Experimental Study on Rotation Forest Ensembles
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
Ludmila I. Kuncheva, Juan José Rodrí...
142
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JPDC
2008
138views more  JPDC 2008»
15 years 17 days ago
Efficient parallel implementation of iterative reconstruction algorithms for electron tomography
Electron tomography (ET) combines electron microscopy and the principles of tomographic imaging in order to reconstruct the threedimensional structure of complex biological specim...
José-Jesús Fernández, Dan Gor...