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» Hidden Markov Models with Multiple Observation Processes
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ICIP
2008
IEEE
16 years 1 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
SIAMAM
2010
90views more  SIAMAM 2010»
15 years 5 months ago
A Stochastic Analysis of a Greedy Routing Scheme in Sensor Networks
We address the stochastic characteristics of a recently-proposed greedy routing scheme. The stochastic behaviour of individual hop advancements is examined to observe the overall ...
H. Paul Keeler, P. G. Taylor
ICASSP
2011
IEEE
14 years 10 months ago
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation
Separating multiple tracks from professionally produced music recordings (PPMRs) is still a challenging problem. We address this task with a user-guided approach in which the sepa...
Alexey Ozerov, Cédric Févotte, Rapha...
JCB
2006
114views more  JCB 2006»
15 years 6 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman
INFOCOM
2011
IEEE
14 years 10 months ago
An analytical approach to real-time misbehavior detection in IEEE 802.11 based wireless networks
—The distributed nature of the CSMA/CA based wireless protocols, e.g., the IEEE 802.11 distributed coordinated function (DCF), allows malicious nodes to deliberately manipulate t...
Jin Tang, Yu Cheng, Weihua Zhuang