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of 64
pro vyhledávání: '"H Luerssen"'
Publikováno v:
Neurocomputing. 224:19-36
Training Brain Computer Interface (BCI) systems to understand the intention of a subject through Electroencephalogram (EEG) data currently requires multiple training sessions with a subject in order to develop the necessary expertise to distinguish s
Publikováno v:
MATEC Web of Conferences, Vol 277, p 02032 (2019)
In Computer Vision, finding simple features is performed using classifiers called interest point (IP) detectors, which are often utilised to track features as the scene changes. For 2D based classifiers it has been intuitive to measure repeated point
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5b7d9d2c57a9e9bd0c051ff932eadb2
http://arxiv.org/abs/1903.01828
http://arxiv.org/abs/1903.01828
Autor:
Martin H. Luerssen, Tim Hawke
Publikováno v:
IVA
Virtual agents can engage users on a social-emotional level and have great potential in improving population health, so it would be advantageous if one could create and distribute them without requiring advanced technical skills. We present a flexibl
Publikováno v:
ICNC-FSKD
Accurate parameter estimation for the Muskingum method is important in its use for forecasting flood damage. Combining ideas from quantum computing and evolutionary computing, a quantum genetic algorithm (QGA) is presented for this purpose, which is
Publikováno v:
ICIS
Interest point detectors are important components in a variety of computer vision systems. This paper demonstrates an automated virtual 3D environment for controlling and measuring detected interest points on 2D images in an accurate and rapid manner
Publikováno v:
Neurocomputing. 119:319-331
Subject transfer is a growing area of research in EEG aiming to address the lack of having enough EEG samples required for BCI by using samples originating from individuals or groups of subjects that previously performed similar tasks. This paper inv
Autor:
Ralf Wieseke, J Plieske, Andreas Polley, E M Graner, Martin W. Ganal, G Durstewitz, H Luerssen
Publikováno v:
Genome. 53:948-956
Oilseed rape ( Brassica napus ) is an allotetraploid species consisting of two genomes, derived from B. rapa (A genome) and B. oleracea (C genome). The presence of these two genomes makes single nucleotide polymorphism (SNP) marker identification and
Autor:
David M. W. Powers, Martin H. Luerssen
Publikováno v:
Genetic Programming and Evolvable Machines. 9:203-228
Facilitating the discovery and reuse of modular building blocks is generally regarded as the key to achieving better scalability in genetic programming (GP). A precedent for this exists in biology, where complex designs are the product of development
Autor:
David M. W. Powers, Darius Pfitzner, Catherine J. Stevens, Bronwyn Pinchbeck, Martin H. Luerssen, Arman Abrahamyan, Yvonne Leung, Guillaume Gibert, Trent W. Lewis
Publikováno v:
Computational Cognitive Science
Background Two experiments investigated the effect of features of human behaviour on the quality of interaction with an Embodied Conversational Agent (ECA). Methods In Experiment 1, visual prominence cues (head nod, eyebrow raise) of the ECA were man
Autor:
Martin H. Luerssen, Parimala Raghavendra, David M. W. Powers, Marissa Milne, Trent W. Lewis, Richard Leibbrandt
Publikováno v:
IEEE IA
Educators continually strive to provide learning materials that are specifically adapted to their students' unique learning preferences and needs. Software use continues to grow in classrooms however typical educational programs cannot be modified to