Sciweavers

235 search results - page 8 / 47
» Quantization of Discrete Probability Distributions
Sort
View
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 14 days ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
JCT
2010
81views more  JCT 2010»
13 years 6 months ago
On the probability of a rational outcome for generalized social welfare functions on three alternatives
In [11], Kalai investigated the probability of a rational outcome for a generalized social welfare function (GSWF) on three alternatives, when the individual preferences are unifo...
Nathan Keller
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 8 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
ICASSP
2011
IEEE
12 years 11 months ago
Exploiting an interplay between norms to analyze scalar quantization schemes
Quantization is intrinsic to several data acquisition systems. This process is especially important in distributed settings, where observations must rst be compressed before they ...
Parimal Parag, Jean-François Chamberland
ICASSP
2011
IEEE
12 years 11 months ago
Data-path and memory error compensation technique for low power JPEG implementation
This paper presents a novel technique to mitigate effects of datapath and memory errors in JPEG implementations. These errors are mainly caused by voltage scaling and process vari...
Yunus Emre, Chaitali Chakrabarti