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COR
2008
124views more  COR 2008»
13 years 10 months ago
Max-min fairness in multi-commodity flows
In this paper, we provide a study of Max-Min Fair (MMF) multicommodity flows and focus on some of their applications to multi-commodity networks. We first present the theoretical ...
Dritan Nace, Nhat Linh Doan, Olivier Klopfenstein,...
ECCV
2002
Springer
15 years 2 days ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
RECOMB
2009
Springer
14 years 10 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
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 10 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
SIAMIS
2010
171views more  SIAMIS 2010»
13 years 5 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...