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ICCV
2003
IEEE
16 years 8 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
IPPS
2005
IEEE
16 years 6 days ago
EMPS: An Environment for Memory Performance Studies
This paper describes an overview of Environment for Memory Performance Studies (EMPS). EMPS is a framework to allow different data gathering and simulation tools to be composed to...
Jeffrey K. Hollingsworth, Allan Snavely, Simone Sb...
DEBS
2010
ACM
15 years 10 months ago
Stochastic performance analysis and capacity planning of publish/subscribe systems
Publish/subscribe systems are used increasingly often as a communication mechanism in loosely-coupled distributed applications. With their gradual adoption in mission critical are...
Arnd Schröter, Gero Mühl, Samuel Kounev,...
TASLP
2010
117views more  TASLP 2010»
15 years 1 months ago
Speech Enhancement Using Gaussian Scale Mixture Models
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
COLT
2008
Springer
15 years 8 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál