8 search results - page 1 / 2 » Maximum-likelihood period estimation from sparse, noisy timi... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
NIPS
2003
13 years 6 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
13 years 8 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 5 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 4 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...