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» The Computational Complexity of Linear Optics
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AUSAI
2006
Springer
15 years 7 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
RSS
2007
128views Robotics» more  RSS 2007»
15 years 5 months ago
Data Association in O(n) for Divide and Conquer SLAM
—In this paper we show that all processes associated to the move-sense-update cycle of EKF SLAM can be carried out in time linear in the number of map features. We describe Divid...
Lina María Paz, José E. Guivant, Jua...
EUROGRAPHICS
2010
Eurographics
15 years 5 months ago
Scalable Height Field Self-Shadowing
We present a new method suitable for general purpose graphics processing units to render self-shadows on dynamic height fields under dynamic light environments in real-time. Visib...
Ville Timonen and Jan Westerholm
ACTA
2007
96views more  ACTA 2007»
15 years 4 months ago
Recursive Petri nets
Abstract. In order to design and analyse complex systems, modelers need formal models with two contradictory requirements: a high expressivity and the decidability of behavioural p...
Serge Haddad, Denis Poitrenaud
SIGMETRICS
2002
ACM
142views Hardware» more  SIGMETRICS 2002»
15 years 3 months ago
Exact aggregate solutions for M/G/1-type Markov processes
We introduce a new methodology for the exact analysis of M/G/1-type Markov processes. The methodology uses basic, well-known results for Markov chains by exploiting the structure ...
Alma Riska, Evgenia Smirni