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» On the Power of the Randomized Iterate
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CPC
2004
76views more  CPC 2004»
15 years 6 months ago
On Some Parameters in Heap Ordered Trees
Heap ordered trees are planted plane trees, labelled in such a way that the labels always increase from the root to a leaf. We study two parameters, assuming that p of the n nodes ...
Kate Morris, Alois Panholzer, Helmut Prodinger
SAMOS
2009
Springer
16 years 1 months ago
Experiences with Cell-BE and GPU for Tomography
Tomography is a powerful technique for three-dimensional imaging, that deals with image reconstruction from a series of projection images, acquired along a range of viewing directi...
Sander van der Maar, Kees Joost Batenburg, Jan Sij...
ICMLA
2010
15 years 4 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
CISS
2008
IEEE
16 years 28 days ago
Dynamic data compression for wireless transmission over a fading channel
—We consider a wireless node that randomly receives data from different sensor units. The arriving data must be compressed, stored, and transmitted over a wireless link, where bo...
Michael J. Neely
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)