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This paper considers how the use of video clips integrated into a virtual learning environment has been perceived by students on a land surveying module within a civil engineering degree. The increasi...
This article reports on best practice e-learning applications in Photogrammetry, Remote Sensing and GIS. The rating is based, on results of the Computer Assisted Teaching CONtest (CATCON), a competiti...
In this paper, we investigate the power of online learning in stochastic network optimization with unknown system statistics a priori. We are interested in understanding how information and learning c...
We present a structured learning approach to inducing hypernym taxonomies using a probabilistic graphical model formulation.Our model incorporates heterogeneous re-lational evidence about both hyperny...
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
This paper addresses the problem of producing very compact representation of a face image for large-scale face search and analysis tasks. In tradition, the compactness of face rep-resentation is achie...
This paper studies the effectiveness of accomplishing high-level tasks with a minimum of manual annotation and good feature rep-resentations for medical images. In medical image analysis, objects like...
In this paper, we develop the Receding Learning-aided Control algorithm ( RLC ) for solving optimization problems in general stochastic networks with potentially non-stationary system dynamics. RLC is...
In this paper, we present a novel learning-aided energy management scheme (LEM) for multihop energy har-vesting networks. Different from prior works on this problem,our algorithm explicitly incorporat...
The greedy algorithm is extensively studied in the field of combinatorial optimiza-tion for decades. In this paper, we address the online learning problem when the input to the greedy algorithm is sto...
We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets.Specifically, the model to be learned, ϑ, is a probability dis-tribution over ...
The advent of Internet-based learning management systems [LMS] has greatly simplified the staging of teaching and learning activities to the World Wide Web [WWW]. The increased access to and utilizati...
E-learning in Europe has gained a sustainable impulse with the Bologna process, an agreement aiming at making academic degrees and quality assurance standards more comparable and compatible throughout...
This paper presents two open source e-learning tools developed at the University of Zurich: eLML (eLesson Markup Language), an XML framework allowing authors of e-learning lessons to create structured...
As video capture, editing and transmission capabilities become more accessible, video is increasingly being considered when developing e-learning content. However, the skills required for video produc...

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