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ICASSP
2011
IEEE
12 years 10 months ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...
NIPS
2003
13 years 7 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 filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 8 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 6 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
ICASSP
2011
IEEE
12 years 10 months ago
Stochastic optimization based on the Laplace transform order with applications to precoder designs
Stochastic optimization arising from precoding in a multi-antenna fading channel with channel mean feedback to maximize data rates is important but challenging. The use of relayin...
Minhua Ding, Keith Q. T. Zhang