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» Quantizing Density Estimators
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SSDBM
2006
IEEE
167views Database» more  SSDBM 2006»
14 years 1 months ago
Exploring Data Streams with Nonparametric Estimators
A variety of real-world applications requires a meaningful online analysis of transient data streams. An important building block of many analysis tasks is the characterization of...
Christoph Heinz, Bernhard Seeger
INFOCOM
2012
IEEE
11 years 10 months ago
Estimators also need shared values to grow together
—Network management applications require large numbers of counters in order to collect traffic characteristics for each network flow. However, these counters often barely fit ...
Erez Tsidon, Iddo Hanniel, Isaac Keslassy
GLOBECOM
2007
IEEE
14 years 2 months ago
Finite Rate Feedback for Spatially and Temporally Correlated MISO Channels in the Presence of Estimation Errors and Feedback Del
—In this paper, the problem of finite-rate feedback for spatially and temporally correlated Rayleigh fading Multiple Input Single Output (MISO) channels with estimation errors a...
Yogananda Isukapalli, Bhaskar D. Rao
ICASSP
2011
IEEE
12 years 11 months ago
Parameter estimation using sparse reconstruction with dynamic dictionaries
We consider the problem of parameter estimation for signals characterized by sums of parameterized functions. We present a dynamic dictionary subset selection approach to paramete...
Christian D. Austin, Joshua N. Ash, Randolph L. Mo...
TNN
2008
82views more  TNN 2008»
13 years 7 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...