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The group context consists of various data related to the group environment, such as the group location, environment of the group, or group present activities An example for a group context is the composition of the following facts: the group is in a car, travelling on a country lane at a certain speed, at a certain time, listening to country music GCGI produces the group context description To do so, GCGI utilises the member context description produced by the PCF, and the pro le group information from the PF GCGI interface inherits the CP interface In addition to CP methods, GCGI component implements speci c methods implemented in the GCGI interface Group Context Inference (GCI) The group context description is used by the GCI to produce the OGC and by RF to learn casual models for groups.



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A new look at the power method for fast subspace tracking Digital Signal Processing, 9:297 314, 1999 579 Y Hua, HH Yang, and W Qiu Source correlation compensation for blind channel identi cation based on second-order statistics IEEE Signal Processing Letters, 1(8):119 120, August 1994 580 Y Hua, HH Yang, and M Zhou Blind system identi cation using multiple sensors In Proc IEEE ICASSP, pages 3171 3174 vol5, Detroit, MI, 1995 IEEE 581 S Van Hu el (Ed) Recent Advances in Total Least Squares Techniques and Errors in Variables Modeling, volume 93 of Siam Proceedings in Applied Mathematics SIAM, Philadelphia, USA, 1997 582 S Van Hu el and J Vandewalle (Eds) The Total Least Squares Problem : Computational Aspects and Analysis, volume 9 of Frontiers in Applied Mathematics SIAM, Philadelphia, USA, 1991 583 RD Hughes, EJ Lawrence, and LP Withers, Jr.





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Whenever possible, use adjustment layers to apply an edit to your picture. That way you can always adjust the settings of the edit. Unfortunately, not all edits can be contained in an adjustment layer.

The OGC is used to further select suitable service categories, such as interface adaptation functions To do so, the component uses group context produced by the CGCI along with schemas learned by RF These schemas link the group context to particular actions or to sequences of actions GCI performs assumptions and conclusions on the basis of group context descriptions provided by the GCGI, parts of the group pro le and the group interaction models (casual models) stored in PF The GCI is needed to both contextualise and personalise mobile applications and services The GCI interface inherits the CP interface In fact, it can be considered that GCI provides a particular context (eg the OGC) GCI interacts with PF to store or retrieve models learned for groups; for simplicity the same interface has been adopted Operational Group Context.

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A robust CMA adaptive array for multiple narrowband sources In 26-th Asilomar Conference Signals, Systems Comp, pages 35 39 vol1 IEEE, 1992 584 AW Hull and WK Jenkins Performance improvement of blind equalizers using the constant modulus algorithm In 26-th Asilomar Conference Signals, Systems Comp, pages 11 14 vol1 IEEE, 1992 585 J Hurri, A Hyv rinen, J Karhunen, and E Oja Image feature extraction using independent a component analysis In Proc 1996 IEEE Nordic Signal Processing Symposium NORSIG 96, pages 475 478, Espoo, Finland, Sept 1996 586 A Hyv rinen Finding cluster directions by non-linear Hebbian learning In Proc Int a Conference on Neural Information Processing, pages 97 102, Hong Kong, 1996 587 A Hyv rinen Purely local neural principal component and independent component learning a In Proc Int Conference on Arti cial Neural Networks, pages 139 144, Bochum, Germany, 1996 588 A.

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The OGC consists of the group context plus relevant preferences for the group that have high values in the actual context An example for a group context is the composition of the following facts: group context (the group is in a car, travelling.

Hyv rinen Simple one-unit neural algorithms for blind source separation and blind decona volution In S Amari, L Xu, L-W Chan, I King, and K-S Leung, editors, Progress in Neural Information Processing Proceedings of the International Conference on Neural Information Processing, pages 1201 1206 vol2, Hong Kong, 1996 Springer-Verlag 589 A Hyv rinen A family of xed-point algorithms for independent component analysis In a Proc IEEE Int Conference on Acoustics, Speech and Signal Processing (ICASSP 97), pages 3917 3920, Munich, Germany, 1997..

(2) Execute all commitments for the current cycle where the capability condition of the associated action is satisfied.

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