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ACL
2009
13 years 5 months ago
2009
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...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper deals with scheduling divisible load applications on star networks, in presence of return messages. This work is a follow-on of [6, 7], where the same problem was consi...
SAC
2010
ACM
13 years 2 months ago
2010
ACM
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
This paper addresses the problem of “missing requirements” in software requirements specification (SRS) expressed in natural language. Due to rapid changes in technology and b...