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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 2 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
ICSNC
2007
IEEE
14 years 2 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
ISLPED
2006
ACM
83views Hardware» more  ISLPED 2006»
14 years 1 months ago
Considering process variations during system-level power analysis
Process variations will increasingly impact the operational characteristics of integrated circuits in nanoscale semiconductor technologies. Researchers have proposed various desig...
Saumya Chandra, Kanishka Lahiri, Anand Raghunathan...
ICMI
2005
Springer
215views Biometrics» more  ICMI 2005»
14 years 1 months ago
Multimodal multispeaker probabilistic tracking in meetings
Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track th...
Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc ...
STOC
1997
ACM
125views Algorithms» more  STOC 1997»
13 years 12 months ago
An Interruptible Algorithm for Perfect Sampling via Markov Chains
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
James Allen Fill