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» Solving operational statistics via a Bayesian analysis
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SADM
2010
141views more  SADM 2010»
14 years 5 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
IPSN
2005
Springer
15 years 4 months ago
Matched source-channel communication for field estimation in wireless sensor networks
Abstract— Sensing, processing and communication must be jointly optimized for efficient operation of resource-limited wireless sensor networks. We propose a novel source-channel...
Waheed Uz Zaman Bajwa, Akbar M. Sayeed, Robert D. ...
108
Voted
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
14 years 12 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 3 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
89
Voted
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
15 years 5 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou