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RECOMB
2009
Springer
16 years 3 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 2 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
ICIP
2006
IEEE
16 years 4 months ago
Image Manifold Interpolation using Free-Form Deformations
An important class of image data sets depict an object undergoing deformation. When there are only a few underlying causes of the deformation, these images have a natural lowdimen...
Richard Souvenir, Qilong Zhang, Robert Pless
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
15 years 9 months ago
Event-based optimization for dispatching policies in material handling systems of general assembly lines
—A material handling (MH) system of a general assembly line dispatching parts from inventory to working buffers could be complicated and costly to operate. Generally it is extrem...
Yanjia Zhao, Qianchuan Zhao, Qing-Shan Jia, Xiaoho...
IJCNN
2006
IEEE
15 years 8 months ago
Online Training of a Generalized Neuron with Particle Swarm Optimization
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...