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178
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SERP
2007
15 years 9 months ago
Runtime Support of Speculative Optimization for Offline Escape Analysis
Escape analysis can improve the speed and memory efficiency of garbage collected languages by allocating objects to the call stack, but an offline analysis will potentially interf...
Kevin Cleereman, Michelle Cheatham, Krishnaprasad ...
ICPR
2008
IEEE
16 years 8 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
172
Voted
AUSAI
2004
Springer
16 years 26 days ago
Learning the Grammar of Distant Change in the World-Wide Web
One problem many Web users encounter is to keep track of changes of distant Web sources. Push services, informing clients about data changes, are frequently not provided by Web ser...
Dirk Kukulenz
CLOR
2006
15 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 11 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...