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» Pattern Search Methods for Linearly Constrained Minimization
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IJIT
2004
15 years 1 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...
JCST
2007
151views more  JCST 2007»
14 years 11 months ago
Indexing Future Trajectories of Moving Objects in a Constrained Network
Abstract Advances in wireless sensor networks and positioning technologies enable new applications monitoring moving objects. Some of these applications, such as traffic managemen...
Ji-Dong Chen, Xiao-Feng Meng
ECCV
2006
Springer
16 years 1 months ago
Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points
Efficient direct solutions for the determination of a cylinder from points are presented. The solutions range from the well known direct solution of a quadric to the minimal soluti...
Christian Beder, Wolfgang Förstner
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
15 years 1 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
SIAMJO
2008
112views more  SIAMJO 2008»
14 years 11 months ago
Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm
This paper describes a Parallel Space Decomposition (PSD) technique for the Mesh Adaptive Direct Search (MADS) algorithm. MADS extends Generalized Pattern Search for constrained n...
Charles Audet, J. E. Dennis, Sébastien Le D...