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    QEST
    2008
    IEEE
    145views Modeling and Simulation» more  QEST 2008»
    Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
    14 years 2 months ago
    Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
    Download  www.era.lib.ed.ac.uk
    We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
    Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...
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    IJCAI
    1997
    161views Artificial Intelligence» more  IJCAI 1997»
    Combining Probabilistic Population Codes
    13 years 9 months ago
    Combining Probabilistic Population Codes
    Download  www.gatsby.ucl.ac.uk
    We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
    Richard S. Zemel, Peter Dayan
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    ICA
    2007
    Springer
    129views Signal Processing» more  ICA 2007»
    On Separation of Signal Sources Using Kernel Estimates of Probability Densities
    14 years 1 months ago
    On Separation of Signal Sources Using Kernel Estimates of Probability Densities
    Download  www.stat.ualberta.ca
    The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
    Oleg V. Michailovich, Douglas Wiens
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    IJCV
    2000
    161views more  IJCV 2000»
    Probabilistic Detection and Tracking of Motion Boundaries
    13 years 7 months ago
    Probabilistic Detection and Tracking of Motion Boundaries
    Download  www.cs.brown.edu
    We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
    Michael J. Black, David J. Fleet
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    DSN
    2008
    IEEE
    122views Computer Networks» more  DSN 2008»
    A recurrence-relation-based reward model for performability evaluation of embedded systems
    14 years 2 months ago
    A recurrence-relation-based reward model for performability evaluation of embedded systems
    Download  www.ia-tech.com
    Embedded systems for closed-loop applications often behave as discrete-time semi-Markov processes (DTSMPs). Performability measures most meaningful to iterative embedded systems, ...
    Ann T. Tai, Kam S. Tso, William H. Sanders
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