Search results for "image"
showing 10 items of 6818 documents
Recommending Serendipitous Items using Transfer Learning
2018
Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…
A DFT Study of Linear Gold–Thiolate Superclusters Absorbing in the Therapeutic NIR Window
2015
A series of linear clusters up to an aspect ratio of 1:6, formed as multimers of smaller clusters with an icosahedral Au13(5+) core having an eight-electron superatom configuration, are computationally predicted to have a greatly enhanced size-dependent absorption in the near-infrared (NIR) region extending to the biologically important NIR window. A novel structural model is presented for the previously isolated thiol-stabilized Au54(SR)30 cluster, where the metal core is formed as a heterodimer of the cores of the known Au25(SR)18(-/0) and Au38(SR)24 clusters.
Curvelet-based method for orientation estimation of particles
2013
A method based on the curvelet transform is introduced for estimating from two-dimensional images the orientation distribution of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform clearly better than these traditional methods.
Curvelet-based method for orientation estimation of particles from optical images
2014
A method based on the curvelet transform is introduced to estimate the orientation distribution from two-dimensional images of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform better than these tradi- tional methods. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of th…
Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type …
2014
We developed a classification workflow for boreal forest habitat type mapping. In object-based image analysis framework, Fractal Net Evolution Approach segmentation was combined with random forest classification. High-resolution WorldView-2 imagery was coupled with ALS based canopy height model and digital terrain model. We calculated several features (e.g. spectral, textural and topographic) per image object from the used datasets. We tested different feature set alternatives; a classification accuracy of 78.0 % was obtained when all features were used. The highest classification accuracy (79.1 %) was obtained when the amount of features was reduced from the initial 328 to the 100 most imp…
Towards proactive context-aware self-healing for 5G networks
2017
In this paper, we suggest a new research direction and a future vision for Self-Healing (SH) in Self-Organizing Networks (SONs). The problem we wish to solve is that traditional SH solutions may not be sufficient for the future needs of cellular network management because of their reactive nature, i.e., they start recovering after detecting already occurred faults instead of preparing for possible future faults in a pre-emptive manner. The detection delays are especially problematic with regard to the zero latency requirements of 5G networks. To address this problem, existing SONs need to be upgraded from reactive to proactive response. One of the dimensions in SH research is to employ more…
Phantom/liminal fat and feminist theories of the body
2017
This article brings together two concepts, ‘phantom fat’ and ‘liminal fat’, which both aim to grasp how fat in contemporary culture becomes a kind of material immateriality, corporeality in suspension. Comparing the spheres of representation and experience, we examine the challenges and usefulness of these concepts, and feminist fat studies perspectives more broadly, to feminist scholarship on the body. We ask what connects and disconnects fat corporeality and fat studies from ways of theorising other embodied differences, like gender, ‘race’, disability, class and sexuality, especially when thinking through their perceived mutability or removability, and assumptions about their relevance …
Visibility without voice: Media witnessing irregular migrants in BBC online news journalism
2016
In the analysis of journalistic representation of irregular migration to Europe, rather little attention is given to the variation of modes and genres of journalism. Most studies focus on text in ‘old media’ and the news genre. This article analyses affordances of different modalities and genres of online journalism in framing irregular migrants. Media framing in BBC online news coverage of a mediatised conflict in Spain, defined as a ‘migration crisis’, is analysed with multimodal social semiotics. While mediation makes global audiences witness tragedies at Europe's borders and online journalism affords more voice and deliberation for migrant sources, the frames of threat and victim domina…
Snack portion size choice, expectations and actual experiences in children: the interplay of healthiness, hunger, and sensory food imagery
2018
International audience
Huoli kuvasta : merkitys, mieli, materiaalisuus
2017
This research is a hybrid of a monograph and a multiple-article dissertation. Its theoretical starting point is a phenomenologically based view of the being of the image, in which Georges Didi-Huberman´s work plays a central role. For him, as well as for Mieke Bal, a historical work of art is never only in the distant past only but also exists in the present actuality. This makes the temporality of the Image extremely complex. The Image can be encountered only “pre-posterously” (Bal) or by reading it “against the grain” (Didi-Huberman). The Image is necessarily anachronistic; it is not in time but opens up time. This fact should be taken into account not only in art history, but also in art…