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» Approximate Data Structures with Applications
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ISMIS
2000
Springer
15 years 11 months ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...
COCOA
2008
Springer
15 years 9 months ago
New Algorithms for k-Center and Extensions
The problem of interest is covering a given point set with homothetic copies of several convex containers C1,...,Ck, while the objective is to minimize the maximum over the dilatat...
René Brandenberg, Lucia Roth
CAD
2006
Springer
15 years 7 months ago
Field modeling with sampled distances
Traditional mesh-based approaches to the modeling and analysis of physical fields within geometric models require some form of topological reconstruction and conversion in the mes...
Michael Freytag, Vadim Shapiro, Igor G. Tsukanov
IVC
2006
146views more  IVC 2006»
15 years 7 months ago
Reconfigurable omnidirectional camera array calibration with a linear moving object
Reconfigurable omnidirectional camera arrays are useful for applications where multiple cameras working together are to be deployed at a short notice. This paper proposes a multi-...
Tarak Gandhi, Mohan M. Trivedi
ACL
2009
15 years 5 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...