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ICASSP
2008
IEEE
11 years 8 months ago
Maximum-likelihood period estimation from sparse, noisy timing data
Robby G. McKilliam, I. Vaughan L. Clarkson
NIPS
2003
11 years 2 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear ļ¬ltering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
CDC
2009
IEEE
186views Control Systems» more  CDC 2009»
11 years 5 months ago
Distributed function and time delay estimation using nonparametric techniques
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
Damiano Varagnolo, Gianluigi Pillonetto, Luca Sche...
WWW
2008
ACM
12 years 2 months ago
Computable social patterns from sparse sensor data
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
Dinh Q. Phung, Brett Adams, Svetha Venkatesh
PERCOM
2005
ACM
12 years 1 months ago
Adaptive Temporal Radio Maps for Indoor Location Estimation
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Jie Yin, Qiang Yang, Lionel M. Ni
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