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PRL
2000
182views more  PRL 2000»
13 years 7 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence
Background: In eukaryotes, most DNA-binding proteins exert their action as members of large effector complexes. The presence of these complexes are revealed in high-throughput gen...
David S. Huen, Steven Russell
AUTONOMICS
2007
ACM
13 years 11 months ago
Adaptive learning of semantic locations and routes
Abstract. Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices...
Keshu Zhang, Haifeng Li, Kari Torkkola, Mike Gardn...
COMPGEOM
1993
ACM
13 years 11 months ago
Approximating Center Points with Iterated Radon Points
We give a practical and provably good Monte Carlo algorithm for approximating center points. Let P be a set of n points in IRd . A point c ∈ IRd is a β-center point of P if eve...
Kenneth L. Clarkson, David Eppstein, Gary L. Mille...
CORR
2010
Springer
241views Education» more  CORR 2010»
13 years 7 months ago
Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image
With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the...
Kamrul Hasan Talukder, Koichi Harada