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Localisation via Deep Imagination: Learn the Features Not the Map
[chapter]
2019
Lecture Notes in Computer Science
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To this end, we introduce "Deep Imagination", a combination of classical Visual-based Monte Carlo Localisation and deep learning. ...
By making use of a feature embedded 3D map, the system can "imagine" the view from any novel location. ...
Acknowledgements This work was funded by the EPSRC under grant agreements (EP/R512217/1) and (EP/R03298X/1) and Innovate UK Autonomous Valet Parking Project (Grant No 104273) . ...
doi:10.1007/978-3-030-11021-5_44
fatcat:p3vpxxwddjfmzdsjtkr4g56ymi
10. Masters of Business Administration
[chapter]
1982
The Pragmatic Imagination
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The structure and ratio found at the University of Natal will be compared to the suggested model and to those of the other universities examined. ...
From this study will emerge the ideal structure and ratio for the Information Technology Division of the University of Natal. ...
Student Enrolment at Indiana The department is divided into the following sections: • Teaching and Learning Information Technologies, which provides support to staff via a call centre and on-site support ...
doi:10.9783/9781512806601-014
fatcat:25tnjzvwbnfzdnxzsw5uyookei
David Harvey: Marxism, Capitalism and the Geographical Imagination
2007
New Political Economy
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Since the publication of the path-breaking Social Justice and the City in 1973, 1 he has constructed a corpus of work whose consistency, topical range and encompassing vision is almost unique within the ...
is arguably the greatest living Marxist geographer. ...
and resistance, not just contingent geographical forms via which they find expression. ...
doi:10.1080/13563460601068859
fatcat:wlkcvrcafnghvgnpdgqih3qwam
Biomedical Engineering
1999
Imagine
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Damianou, who gave me the idea of this research and guidance and support throughout the completion of this report. ...
I am more than grateful and I truly appreciate the support and help from my external supervisor Dr C. ...
deep in the liver (i.e. in plane parallel to the transducer beam axis). ...
doi:10.1353/imag.2003.0238
fatcat:diok5xqr4jezrn4womeceo6xwu
Culture Dynamics across the World Today: Tourism and the Palette of Imagination
2021
Journal of Geographical Research
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,for a deeper/richer palette-of-imagination on the teeming multiplicities and throbbing provisionalities of culture as it emerges/unfolds or otherwise gets recast under the destabilising 'nomadic logics ...
In general,this manuscript critiques the contemporary dynamisms of the formation/deformation of the cultural sphere under the increased mobilisations of globalization.In particular,it inspects the symphysis ...
as not only active interpreters but also as performers of imagined contours of place around the world. ...
doi:10.30564/jgr.v4i4.3488
fatcat:4obburvn7bbn5jlxbdbbowwdpu
The Postcolonial Turn: Re-imagining anthropology and Africa
2012
African Affairs
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Acknowledgments The field research on which this article is based benefited from the financial support of the European Commission (DG XII STD3, projects TS2 M 0202 B and STD4, TS3* CT94 0326), the Belgian ...
I gratefully acknowledge the valuable co-operation of my colleagues in Kinshasa at the IMNC (In-stitute of the National Museums of Congo) and CERDAS (Centre for the Co-ordination of Research and Docu-mentation ...
deep social commitment. ...
doi:10.1093/afraf/ads050
fatcat:6r4bpe2egbfbjcvnpzkoxipgry
Detailed analysis of 'work as imagined' in the use of intravenous insulin infusions in a hospital: a hierarchical task analysis
2021
BMJ Open
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Complex preparation of VRIII in clinical areas and the need for frequent monitoring and adjustment increase the complexity of using VRIII. ...
The process of producing hospital-specific guidelines was iterative. Careful consideration was taken to coordinate the development and implementation of guidelines. ...
Interested participants contacted the researcher directly via email. ...
doi:10.1136/bmjopen-2020-041848
pmid:33757944
pmcid:PMC7993247
fatcat:stz634wp7jfwhd53uhyob4dr3e
'We Were Determined to Use Our Opportunities to the Full': Page's Rise to National Prominence
[chapter]
2020
'Now is the Psychological Moment': Earle Page and the Imagining of Australia
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This text is taken from 'Now is the Psychological Moment': Earle Page and the Imagining of Australia, by Stephen Wilks, published 2020 by ANU Press, The Australian National University, Canberra, Australia ...
1917 speech by observing that as the Australian states lacked historical tradition and respective unifying features they were ripe for 'the unification of the whole country', prior to 'the localisation ...
It therefore fell to the parliament in the third decade to profit from the experience of the previous periods and to apply the lessons learned in an effort to make the Constitution work in the manner visualised ...
doi:10.22459/npm.2020.02
fatcat:dpxnbupcsveqjahzo2oshfdr44
Laws, UFOs and UAVs: Feminist Encounters with the Law of Armed Conflict
[chapter]
2016
Imagining Law: Essays in Conversation with Judith Gardam
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This work is licenced under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License. ...
(1996) 90 American Journal of International Law 1, 4; Conditions of Admission of a State to Membership in the United Nations (Article 4 of the Charter) (Advisory Opinion) [1948] ICJ Rep 57, 64; ...
Martti Koskenniemi, 'The Place of Law in Collective Security' (1996) 17 Michigan Journal of International Law 455, Anne Peters, 'Article 25' in Bruno Simma et al (eds) ...
doi:10.20851/essays-gardam-07
fatcat:fmeqpbx6tvachkidmeoju5klty
FutureMapping: The Computational Structure of Spatial AI Systems
[article]
2018
arXiv
pre-print
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We discuss and predict the evolution of Simultaneous Localisation and Mapping (SLAM) into a general geometric and semantic 'Spatial AI' perception capability for intelligent embodied devices. ...
We explore the computational structure of current and future Spatial AI algorithms and consider this within the landscape of ongoing hardware developments. ...
We believe that learned features arising from ongoing geometric deep learning research will provide the path towards this. ...
arXiv:1803.11288v1
fatcat:7o2oqthloredtauxwvwkwtcj6e
Deep Attentive End-to-End Continuous Breath Sensing from Speech
2020
Interspeech 2020
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, that are not reproducible in-the-wild. ...
Herein, we explore deep learning based methodologies, as an automatic way to predict a continuous-time breath signal by solely analysing spontaneous speech. ...
Attentive end-to-end deep learning Both the BELT and the MAX tasks are sequential in nature. ...
doi:10.21437/interspeech.2020-2832
dblp:conf/interspeech/MacIntyreRBBAHS20
fatcat:5kpnhwhpk5gexm32h7xzgj2jhy
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
2020
Remote Sensing
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Deep learning (DL) has great influence on large parts of science and increasingly established itself as an adaptive method for new challenges in the field of Earth observation (EO). ...
Thereby, we highlight the connections between the most important CNN architectures and cornerstones coming from CV in order to alleviate the evaluation of modern DL models. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs12101667
fatcat:vlqupucfrndexnyhrsgawshc2y
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
[article]
2020
arXiv
pre-print
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Deep learning based localization and mapping has recently attracted significant attention. ...
In this work, we provide a comprehensive survey, and propose a new taxonomy for localization and mapping using deep learning. ...
Acknowledgments This work is supported by the EPSRC Project "ACE-OPS: From Autonomy to Cognitive assistance in Emergency OPerationS" (Grant Number: EP/S030832/1). ...
arXiv:2006.12567v2
fatcat:snb2byqamfcblauw5lzccb7umy
Comparison of Different Convolutional Neural Network Structures Based on Keras
2020
Zenodo
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Deep learning is subfield of machine learning, which aims to learn hierarchy of features from input data. ...
In this paper, it is discussed about the deep learning's convolutional structures based on Keras. ...
Therefore, they focused on estimating the unary potentials of a conditional random field via ensembles of learned features. ...
doi:10.5281/zenodo.3612800
fatcat:qy4ys2b7arcrbjr3losm5u5dly
3D Morphable Models as Spatial Transformer Networks
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
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The trained localisation part of the network is independently useful since it learns to fit a 3D morphable model to a single image. ...
We show that the localiser can be trained using only simple geometric loss functions on a relatively small dataset yet is able to perform robust normalisation on highly uncontrolled images including occlusion ...
Acknowledgements We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research. ...
doi:10.1109/iccvw.2017.110
dblp:conf/iccvw/Bas0SAK17
fatcat:53f2jr7qjbet3jukv2nulqa7gi
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