8 search results - page 1 / 2 » Maximum-likelihood period estimation from sparse, noisy timi... |
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
NIPS
2003
13 years 10 months ago
2003
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
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...
WWW
2008
ACM
14 years 10 months ago
2008
ACM
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...
PERCOM
2005
ACM
14 years 9 months ago
2005
ACM
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...