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In this paper we explore two ways of using context for object detection. The first model focusses on people and the objects they commonly interact with, such as fashion and sports accessories. The second model considers more general object…

Computer Vision and Pattern Recognition · Computer Science 2015-11-26 Saurabh Gupta , Bharath Hariharan , Jitendra Malik

For improving e-health services, we propose a context-aware framework to monitor the activities of daily living of dependent persons. We define a strategy for generating long-term realistic scenarios and a framework containing an adaptive…

Computers and Society · Computer Science 2018-06-13 Haider Mshali , Tayeb Lemlouma , Damien Magoni

The ability to automatically recognize a person's behavioral context can contribute to health monitoring, aging care and many other domains. Validating context recognition in-the-wild is crucial to promote practical applications that work…

Artificial Intelligence · Computer Science 2017-10-03 Yonatan Vaizman , Katherine Ellis , Gert Lanckriet

The widespread diffusion of connected smart devices has contributed to the rapid expansion and evolution of the Internet at its edge. Personal mobile devices interact with other smart objects in their surroundings, adapting behavior based…

Machine Learning · Computer Science 2023-06-29 Mattia Giovanni Campana , Franca Delmastro

A freely available educational application (a mobile website) is presented. This provides access to educational material and drilling on selected topics within mathematics and statistics with an emphasis on tablets and mobile phones. The…

Other Statistics · Statistics 2014-12-10 Jamie Lentin , Anna H. Jonsdottir , David Stern , Victoria Mokua , Gunnar Stefansson

This paper deals with the semantic interpretation of information resources (e.g., images, videos, 3D models). We present a case study of an approach based on semantic and context dependent similarity applied to the industrial design.…

Digital Libraries · Computer Science 2010-10-13 Riccardo Albertoni , Monica De Martino

This paper describes a data collection campaign and the resulting dataset derived from smartphone sensors characterizing the daily life activities of 3 volunteers in a period of two weeks. The dataset is released as a collection of CSV…

Human-Computer Interaction · Computer Science 2023-07-10 Mattia Giovanni Campana , Franca Delmastro

Client-side Javascript execution environments (browsers) allow anonymous functions and event-based programming concepts such as callbacks. We investigate whether a mutate-and-test approach can be used to optimise web page load time in these…

Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing systems. Each context-aware application has its own set of behaviors to react to context modifications. This paper is concerned with the…

Human-Computer Interaction · Computer Science 2016-09-07 Mao Zheng , Qian Xu , Hao Fan

A scaleable modelling framework for the consumer intent within the setting of e-Commerce is presented. The methodology applies contextualisation through embeddings borrowed from Natural Language Processing. By considering the user session…

Social and Information Networks · Computer Science 2020-11-04 Hassan Elhabbak , Benoît Descamps , Elisabeth Fischer , Sakis Athanasiadis

Computing becomes increasingly mobile and pervasive today; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly dynamic environments. Today, building context-aware systems is a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-12 Tao Gu , Xiao Hang Wang , Hung Keng Pung , Da Qing Zhang

Mobile proactive tourist recommender systems can support tourists by recommending the best choice depending on different contexts related to herself and the environment. In this paper, we propose to utilize wearable sensors to gather health…

Human-Computer Interaction · Computer Science 2019-12-17 Rinita Roy , Linus W. Dietz

Information Extraction from visual documents enables convenient and intelligent assistance to end users. We present a Neighborhood-based Information Extraction (NIE) approach that uses contextual language models and pays attention to the…

Machine Learning · Computer Science 2021-08-25 Kalpa Gunaratna , Vijay Srinivasan , Sandeep Nama , Hongxia Jin

The methodology of context-sensitive access to e-documents considers context as a problem model based on the knowledge extracted from the application domain, and presented in the form of application ontology. Efficient access to an…

Information Retrieval · Computer Science 2007-05-23 A. V. Smirnov , T. V. Levashova , M. P. Pashkin , N. G. Shilov , A. A. Krizhanovsky , A. M. Kashevnik , A. S. Komarova

Web-based applications are highly accessible to users, providing rich, interactive content while eliminating the need to install software locally. However, evolutionary robotics (ER) has faced challenges in this domain as web-based…

Neural and Evolutionary Computing · Computer Science 2014-07-14 Jared Moore , Anthony Clark , Philip McKinley

We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as they can be collected from mobile devices, e.g.…

Human-Computer Interaction · Computer Science 2022-06-22 Fausto Giunchiglia , Xiaoyue Li , Matteo Busso , Marcelo Rodas-Britez

The web has become a ubiquitous application development platform for mobile systems. Yet, web access on mobile devices remains an energy-hungry activity. Prior work in the field mainly focuses on the initial page loading stage, but fails to…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-07 Lu Yuan , Jie Ren , Ling Gao , Zhanyong Tang , Zheng Wang

Web browsing is an activity that billions of mobile users perform on a daily basis. Battery life is a primary concern to many mobile users who often find their phone has died at most inconvenient times. The heterogeneous multi-core…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-11 Jie Ren , Ling Gao , Hai Wang , Zheng Wang

Mobile app development has become the front line in software engineering. With the recent years many smartphone platforms have grew including but not limited to webOS, blackberry os, Tizen, android, and iOS. The coexistence of these…

Software Engineering · Computer Science 2023-01-03 Shehab Eldeen Ayman Mounir

The addition of contextual sensors to mobile radiation sensors provides valuable information about radiological source encounters that can assist in adjudication of alarms. This study explores how computer-vision based object detection and…

Signal Processing · Electrical Eng. & Systems 2023-09-14 M. R. Marshall , R. J. Cooper , J. C. Curtis , D. Hellfeld , T. H. Y. Joshi , M. Salathe , K. Vetter