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Cai et al. [55] propose context information including spatio-temporal context and relative appearance context for non-overlapping inter-camera human tracking.
Hence we propose context similarity-based feature selection methods.
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Therefore, we propose context-aware cooperative application (CACA) to overcome the frequent churn and high mobility problems.
In this article, we propose context-aware approaches to privacy preservation in wireless and mobile pervasive environments.
Ferscha et al. [58] propose context-aware profile description language (PPDL) expressing mobile peers' preferences with respect to a particular situation.
The originality of this work lies on the proposed way of thinking about context, on the proposed context metamodel and on the specification of a process for designing CSS.
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The proposed context ontology aims at defining a fundamental data model for context extraction in a manufacturing environment.
The results demonstrate the efficacy of the proposed structure, and validate the effectiveness of the proposed context descriptor.
The results highlight the technical feasibility and the economic profitability of such a system for the proposed context.
The experimental results demonstrate that the proposed context modeling approach improves object categorization significantly and outperforms several state-of-the-art context models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com