The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previous distance metric learning (DML) for images. In this work, we present a novel Contextual Metric Learning (CML) method for learning a set of contextual distance metrics for real world multi-label images. The relationships betwe...

This study addressed geographical uniqueness in relation to elite coaching. The study explores the complexities associated to coaching in northern Canadian communities, and how unique geographical surroundings can affect coaching success. The views of fourteen National and International elite coaches from different northern Canadian communities are included within the study. The respondents wer...

Universities have a responsibility to equip graduates with the knowledge and skills to be productive in their work environment. Recently, the discipline of IT Service Management (ITSM) has become globally recognized as critical to organizations. Academia appears to be lagging industry in providing education in this field. This paper describes the motivation, implementation, outcomes and challen...

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Most agronomic research seeks to limit the variability of productivity, offering universal ‘recipe knowledge’ that attempts to overwhelm contextual differences. Based on participatory research with a group of eight graziers in Wisconsin, we present the counter hypothesis that the productivity of variability is a key principle of agroecology. Contextual variability across space and time presents...

Context-aware recommender systems (CARS) go beyond traditional recommender systems, that only consider users’ profiles, by adapting their recommendations also to users’ contextual situations. Several contextual recommendation algorithms have been developed by incorporating context into recommendation algorithms in different ways. The most effective approaches try to model deviations in ratings ...

Contextual framing in physics problems has been shown to generally affect student performance on assessments. This study seeks to identify some of the main influences of this effect, and to characterize how contextual framing may vary within a classroom. Students in summer introductory physics courses (algebra based and calculus based) are administered surveys that assess performance on problem...

ABSTRACT This paper reports the results of an international web-based survey on the use of field studies in the design and evaluation of interactive systems, which was conducted between December 2006 and February 2007. The results suggest that the advantages and disadvantages of field methods are generally well understood, but guidance is needed in their application and use. Field studies were ...

We describe methods and practices of early user involvement and human-centred design: how researchers and designers, in the ICT industry, attempt to cooperate with end-users, with the goal of making a better match with end-users’ needs and preferences. We describe six (dance) moves: participatory design, ethnographic fieldwork, lead-user approach, contextual design, codesigning, and empathic de...

The validity of semantic inferences depends on the contexts in which they are applied. We propose a generic framework for handling contextual considerations within applied inference, termed Contextual Preferences. This framework defines the various context-aware components needed for inference and their relationships. Contextual preferences extend and generalize previous notions, such as select...