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WSC
2008
15 years 6 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
DAGSTUHL
2006
15 years 5 months ago
Model-Driven and Pattern-Based Integration of Process-Driven SOA Models
Service-oriented architectures (SOA) are increasingly used in the context of business processes. However, the modeling approaches for process-driven SOAs do not yet sufficiently i...
Uwe Zdun, Schahram Dustdar
IEEEIAS
2008
IEEE
15 years 10 months ago
A Model for the Study of Privacy Issues in Secure Shell Connections
: The Secure Shell (SSH) protocol strives to protect the privacy of its users in several ways. On one hand, the strong encryption and authentication algorithms that it adopts provi...
Maurizio Dusi, Francesco Gringoli, Luca Salgarelli
FGR
2011
IEEE
267views Biometrics» more  FGR 2011»
14 years 7 months ago
A dynamic approach to the recognition of 3D facial expressions and their temporal models
— In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive...
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic,...
DAGM
2010
Springer
15 years 5 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen