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INFOCOM
2012
IEEE
12 years 3 months ago
Delay optimal multichannel opportunistic access
Abstract—The problem of minimizing queueing delay of opportunistic access of multiple continuous time Markov channels is considered. A new access policy based on myopic sensing a...
Shiyao Chen, Lang Tong, Qing Zhao
ICASSP
2011
IEEE
13 years 4 months ago
A supervised approach to movie emotion tracking
In this paper, we present experiments on continuous time, continuous scale affective movie content recognition (emotion tracking). A major obstacle for emotion research has been t...
Nikos Malandrakis, Alexandros Potamianos, Georgios...
JMLR
2010
137views more  JMLR 2010»
13 years 7 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
JMLR
2010
125views more  JMLR 2010»
13 years 7 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...
JAIR
2010
181views more  JAIR 2010»
13 years 7 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
AUTOMATICA
2008
92views more  AUTOMATICA 2008»
14 years 21 days ago
Continuous-time controller redesign for digital implementation: A trajectory based approach
: Given a continuous time nonlinear closed loop system, we investigate sampled
Lars Grüne, Karl Worthmann, Dragan Nesic
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
14 years 21 days ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
UAI
2003
14 years 1 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ARTS
1997
Springer
14 years 4 months ago
Refinement of Time
We introduce a mathematical model of the timed behaviour of components with streams as input and output using a hierarchy of timing concepts. We distinguish non-timed streams, dis...
Manfred Broy
ISCAS
2005
IEEE
113views Hardware» more  ISCAS 2005»
14 years 6 months ago
On the robustness of an analog VLSI implementation of a time encoding machine
Abstract— Time encoding is a mechanism for representing the information contained in a continuous time, bandlimited, analog signal as the zero-crossings of a binary signal. Time ...
Peter R. Kinget, Aurel A. Lazar, Laszlo T. Toth