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» Computation with imprecise probabilities
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ISIPTA
2003
IEEE
15 years 5 months ago
Computing Lower Expectations with Kuznetsov's Independence Condition
Kuznetsov’s condition says that variables X and Y are independent when any product of bounded functions f(X) and g(Y) behaves in a certain way: the interval of expected values E...
Fabio Gagliardi Cozman
ASPDAC
2007
ACM
105views Hardware» more  ASPDAC 2007»
15 years 4 months ago
An Efficient Computation of Statistically Critical Sequential Paths Under Retiming
Abstract-- In this paper we present the Statistical Retimingbased Timing Analysis (SRTA) algorithm. The goal is to compute the timing slack distribution for the nodes in the timing...
Mongkol Ekpanyapong, Xin Zhao, Sung Kyu Lim
CCA
2009
Springer
15 years 7 months ago
Random Iteration Algorithm for Graph-Directed Sets
Abstract. A random iteration algorithm for graph-directed sets is defined and discussed. Similarly to the Barnsley-Elton’s theorem, it is shown that almost all sequences obtaine...
Yoshiki Tsujii, Takakazu Mori, Mariko Yasugi, Hide...
118
Voted
CONCUR
2009
Springer
15 years 7 months ago
Strict Divergence for Probabilistic Timed Automata
Abstract. Probabilistic timed automata are an extension of timed automata with discrete probability distributions. In previous work, a probabilistic notion of time divergence for p...
Jeremy Sproston
125
Voted
CVPR
2005
IEEE
16 years 2 months ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu