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» A Discourse on Complexity of Process Models
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ICML
2007
IEEE
15 years 10 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
DAC
2000
ACM
15 years 10 months ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
Qinru Qiu, Qing Wu, Massoud Pedram
80
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IDEAL
2005
Springer
15 years 3 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson
ICIP
2007
IEEE
15 years 11 months ago
Analysis of the Decoding-Complexity of Compressed Image-Based Scene Representations
Interactive navigation in image-based scenes requires random access to the compressed reference image data. When using state of the art block-based hybrid video coding techniques,...
Ingo Bauermann, Eckehard G. Steinbach
IEEEARES
2010
IEEE
15 years 4 months ago
A Complexity Based Model for Quantifying Forensic Evidential Probabilities
- An operational complexity model (OCM) is proposed to enable the complexity of both the cognitive and the computational components of a process to be determined. From the complexi...
Richard E. Overill, Jantje A. M. Silomon, Kam-Pui ...