45 search results - page 2 / 9 » Composite hypothesis testing by optimally distinguishable di... |
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— The paper deals with decentralized Bayesian detection with M hypotheses, and N sensors making conditionally correlated measurements regarding these hypotheses. Each sen...
TIT
2002
13 years 4 months ago
2002
We consider the problem of binary hypothesis testing using binary decisions from independent and identically distributed (i.i.d). sensors. Identical likelihood-ratio quantizers wit...
NIPS
2007
13 years 5 months ago
2007
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
TSP
2010
12 years 11 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
IPSN
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...