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An integrated algorithm for ego-vehicle and obstacles state estimation for autonomous driving
2020
Robotics and Autonomous Systems
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correspondence of the center of gravity. ...
Related works 87 As stated in the previous section, DATMO can provide the estimate for each 88 obstacle close to a vehicle even in uncertain conditions. ...
Scenarios with a large 138 number of sensors usually employ multilayers based solution [26, 27], where each 139
171 Global 171 Nearest Neighbour (GNN) filters, Joint Probabilistic Data Association 172 ...
doi:10.1016/j.robot.2020.103662
fatcat:sp53k7wjs5ginofz53kejtmrn4
Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey
2017
Computer graphics forum (Print)
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Furthermore, these surveys agree on a simplified classification of cavity detection algorithms into the following classes: sphere-based, grid-based, and Voronoi-based. ...
Using the three-dimensional structure of a given protein (i.e., atom types and their locations in 3D) as retrieved from a PDB (Protein Data Bank) file, it is now computationally viable to determine a description ...
A smaller distance from an atom to protein's gravity center means that the atom is located at a deeper site in the protein. ...
doi:10.1111/cgf.13158
pmid:29520122
pmcid:PMC5839519
fatcat:5t4rhndtunhvtmkm32niknst7i
AMZ Driverless: The Full Autonomous Racing System
[article]
2019
arXiv
pre-print
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This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for robustness, reliability, and extensibility. ...
In order to autonomously race around a previously unknown track, the proposed solution combines state of the art techniques from different fields of robotics. ...
Acknowledgments In the name of AMZ Driverless, we would like to thank all our sponsors as we could not have realized this project without their support. ...
arXiv:1905.05150v1
fatcat:jztfwaowyzftlgzrlwy3khidnu
Spatiotemporal enabled Content-based Image Retrieval
2016
International Conference on GIScience Short Paper Proceedings
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In this paper, we propose a probabilistic method for estimation of the coverage of a sensor network based on 3D vector representation of the environment. ...
For efficient deployment of sensors in a WSN the coverage estimation is a critical issue. Probabilistic methods are among the most accurate models proposed for sensor coverage estimation. ...
We acknowledge the USGS Center for Excellence in Geospatial Information Science (CEGIS) for analytic advice. ...
doi:10.21433/b311729295dw
fatcat:fulw4pw3kfh5nmfzcsy3pkisvm
Recent advances in mechatronics
1996
Robotics and Autonomous Systems
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The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or ...
Typesetting: Camera-ready by Contributors SPIN 10717447 543210 (Robotics Society of Japan) and SICE (Society of Instr. and Control Engineers of Japan). ...
Acknowledgements The authors would like to thank Mr. K. Tonegawa for his help with the experiments. ...
doi:10.1016/s0921-8890(96)00039-5
fatcat:l5fd4hwa2rbu3l6f2jucyj2fxy
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
[chapter]
2022
Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases
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Precise diagnosis of these diseases on time is very significant for maintaining a healthy life. ...
A comparative study of different machine learning classifiers for chronic disease prediction viz Heart Disease & Diabetes Disease is done in this paper. ...
The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm. ...
doi:10.13052/rp-9788770227667
fatcat:da47mjbbyzfwnbpde7rgbrlppe
Evolution of novel activation functions in neural network training for astronomy data: habitability classification of exoplanets
2020
The European Physical Journal Special Topics
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Classification of exoplanets, on the other hand, is a different approach and depends on quality of training data available in habitable exoplanet catalogs. ...
Classification is the task of predicting labels of newly discovered planets based on available class labels in the catalog. ...
Hausdorff distance between two distribution A and B is defined as following, d H (A, B) = max ∀a∈A min ∀b∈B |a − b|. (23) For every point a in A, we find the distance of the nearest point in B, store this ...
doi:10.1140/epjst/e2020-000098-9
pmid:33194093
pmcid:PMC7651829
fatcat:ea3rnndkpvffbhigw3s7yfkyjm
Patient-generated evidence in Epidermolysis Bullosa (EB): Development of a questionnaire to assess the Quality of Life
[chapter]
2021
Proceedings e report
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This tool will be a valid aid for clinicians to understand patients better and identify the areas that need more attention; moreover, it will allow them to follow the patients over time and evaluate the ...
Nevertheless, the assessment of the quality of life of these patients is scanty. This project aims to develop a patient-centered questionnaire to assess the QoL of EB patients. ...
She is the author and co-author of numerous scientific papers published in national and international journals, and she has been a member of research projects and scientific committees for several national ...
doi:10.36253/978-88-5518-461-8.38
fatcat:2yp72egbhrcvxng7avqoskbpse
Temporal sensorfusion for the classification of bioacoustic time series
[article]
2016
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In this thesis a system for the classification of Orthoptera species by their sounds is described and the behaviour of this approach is demonstrated on a large data set containing sounds of 53 different ...
The system consists of multiple classifiers, since in previous studies it has been shown that for many applications the classification performance of a single classifier system can be improved by combining ...
Acknowledgements This thesis was supported by the help and the assistance of many people whose efforts I hereby would like to gratefully acknowledge. ...
doi:10.18725/oparu-312
fatcat:hu3l72tjtrcsxcirch22azbgz4
Extraction of spatio-temporal primitives of emotional body expressions
2007
Neurocomputing
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The same columnar circuit is re-used all over the cortex, applying a generic algorithm to varying sensory data. ...
Furthermore, input activity is summed from nearest neighbours and multiplied by corresponding node in the input layer. ...
doi:10.1016/j.neucom.2006.10.100
fatcat:esivhljzsbcihdl5qbp756josu
Applications of the Free Energy Principle to Machine Learning and Neuroscience
[article]
2021
arXiv
pre-print
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Finally, we investigate biologically plausible methods of credit assignment in the brain. We first demonstrate a close link between predictive coding and the backpropagation of error algorithm. ...
We go on to propose novel and simpler algorithms which allow for backprop to be implemented in purely local, biologically plausible computations. ...
) := {w (i) k } K k=1 for action sequence k = 1...K do w (i+1) k ← W (a) k ·q (i) (a) k ;θ ∑ K j=1 W (a) j ·q (i) (a) j ;θ θ (i+1) ← refit W (i+1 end end Extract µ t:T from q(a; θ) return µ t
Related ...
arXiv:2107.00140v1
fatcat:c6phd65xwfc2rcyq7pnth5a3pq
Computational Creativity
2014
International Journal of Cognitive Informatics and Natural Intelligence
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As the field has continued to grow, the time has come for the creation of a more formal, even archival, forum for work in computational creativity and this year we took the leap. ...
We are grateful for the thoughtful and thorough reviews provided by the programme committee (without whose hard work, this conference would not have been possible), and, based on these, we accepted 33 ...
Acknowledgements This research was funded by a grant from the Canada Council for the Arts and the Natural Sciences and Engineering Research Council of Canada. ...
doi:10.4018/ijcini.2014040101
fatcat:t75r5mrudzckfm3cjskssgadma
Environmental Tectonics
[article]
2015
Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet
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The value at each site evolves deterministically with time according to a set of definite rules involving the values of its nearest neighbours. ...
The field of computational generative processes based on biological mechanisms is itself growing with numerous sub-categories such as 'physical algorithms', 'probabilistic algorithms', 'immune algorithms ...
doi:10.5278/vbn.phd.engsci.00010
fatcat:u4jzkpzoyvfbrbiqy2eqzjiyqm
Shaping and policy search for nearest-neighbour control policies with applications to vehicle steering
[article]
2004
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Direct policy search is applied to a nearest-neighbour control policy, which uses a Voronoi cell discretization of the observable state space, as induced by a set of control nodes located in this space ...
We examine these motion control results critically and discuss the limitations of the nearest-neighbour policy representation and our policy search method. ...
She has shown that a similar policy search method can be used to learn policies for planar biped walking, which I find very exciting. Much of this work has been supported by a NSERC PGS-A scholarship. ...
doi:10.14288/1.0051749
fatcat:j57cydzxnrd6pe72wmbsrbrm5q
Science, society and biosafety of a field trial with transgenic biofuel poplars
2011
BMC Proceedings
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A long history of quantitative genetic experimentation has established the genetic basis for many traits, which are likely adaptive since many of them are also correlated with environmental heterogeneity ...
The black box surrounds the sampling area for Douglas-fir, while the entire range for loblolly pine was sampled. ...
The availability of the QMI to rapidly assess the potential risk generated by transgenic plants in characterized ecosystems, is a useful tool to assess the releasing or not of the permission of cultivation ...
doi:10.1186/1753-6561-5-s7-i23
fatcat:ulkxqgdupfdktkhsx2kba7pcn4
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