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ICPR
2010
IEEE
14 years 12 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas
DATE
2002
IEEE
141views Hardware» more  DATE 2002»
15 years 2 months ago
A Data Analysis Method for Software Performance Prediction
This paper explores the role of data analysis methods to support system-level designers in characterising the performance of embedded applications. In particular, we address the p...
Gianluca Bontempi, Wido Kruijtzer
IWEC
2010
14 years 8 months ago
Analyzing the Parameters of Prey-Predator Models for Simulation Games
Abstract—We describe and analyze emergent behavior and its effect for a class of preypredators’ simulation models. The simulation uses rule-based agent behavior and follows a p...
Seongdong Kim, Christoph Hoffmann, Varun Ramachand...
IPPS
2006
IEEE
15 years 4 months ago
A simulator for parallel applications with dynamically varying compute node allocation
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic ef...
Basile Schaeli, B. Gerlach, Roger D. Hersch
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
15 years 10 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...