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DCOSS
2005
Springer
15 years 8 months ago
An Adaptive Blind Algorithm for Energy Balanced Data Propagation in Wireless Sensors Networks
In this paper, we consider the problem of energy balanced data propagation in wireless sensor networks and we generalise previous works by allowing realistic energy assignment. A n...
Pierre Leone, Sotiris E. Nikoletseas, José ...
NIPS
2008
15 years 8 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
UAI
2000
15 years 7 months ago
Probabilistic State-Dependent Grammars for Plan Recognition
Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represen...
David V. Pynadath, Michael P. Wellman
ICASSP
2010
IEEE
15 years 6 months ago
An efficient particle filtering technique on the Grassmann manifold
Subspace tracking methods are widespread in signal and image processing. To reduce the influence of perturbations or outliers on the measurements, some authors have used a stocha...
Quentin Rentmeesters, Pierre-Antoine Absil, Paul V...
ICASSP
2009
IEEE
15 years 4 months ago
A performance-weighted mixture of LMS filters
In this paper, we explore the use of a particular multistage adaptation algorithm for a variety of adaptive filtering applications where the structure of the underlying process to...
Suleyman Serdar Kozat, Andrew C. Singer