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134
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PRL
2006
129views more  PRL 2006»
15 years 5 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
CIKM
2010
Springer
15 years 3 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee
138
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IJCNN
2000
IEEE
15 years 10 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
GLOBECOM
2006
IEEE
15 years 11 months ago
Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks
Abstract— In this contribution, we propose an efficient collaborative strategy for online change detection, in a distributed sensor network. The collaborative strategy ensures t...
Hichem Snoussi, Cédric Richard
179
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BMCBI
2006
127views more  BMCBI 2006»
15 years 5 months ago
On the attenuation and amplification of molecular noise in genetic regulatory networks
Background: Noise has many important roles in cellular genetic regulatory functions at the nanomolar scale. At present, no good theory exists for identifying all possible mechanis...
Bor-Sen Chen, Yu-Chao Wang