Zobrazeno 1 - 10
of 42
pro vyhledávání: '"K. Lebart"'
Publikováno v:
IET Radar, Sonar & Navigation. 2:146-154
A framework for the fusion of computer-aided detection and classification algorithms for side-scan imagery is presented. The framework is based on the Dempster-Shafer theory of evidence, which permits fusion of heterogeneous outputs of target detecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b9a15664e35aead0ba0640c8c07c0e
https://doi.org/10.1049/iet-rsn:20070136
https://doi.org/10.1049/iet-rsn:20070136
Publikováno v:
Pattern Recognition Letters. 27:1852-1862
We describe the physical-optics modelling of a millimetre-wave imaging system intended to enable automated detection of threats hidden under clothes. This paper outlines the theoretical basis of the formation of millimetre-wave images and provides th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::554f2550758eac67a06478fc8584085b
https://doi.org/10.1016/j.patrec.2006.02.002
https://doi.org/10.1016/j.patrec.2006.02.002
Publikováno v:
Pattern Recognition Letters. 25:449-457
Motion estimation is a key problem in the analysis of image sequences. From a sequence of images we can only estimate an approximation of the image motion field called optical flow. We propose to improve optical flow estimation by including informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04777ec074d5ca631e7ef73d25192d9a
https://doi.org/10.1016/j.patrec.2003.11.007
https://doi.org/10.1016/j.patrec.2003.11.007
Publikováno v:
IEEE Journal of Oceanic Engineering. 28:673-686
It is often the case that only a few sparse sequences of long videos from scientific underwater surveys actually contain important information for the expert. Locating such sequences is time consuming and tedious. A system that automatically detects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75da0ea26fafa59b8056250f17e0541
https://doi.org/10.1109/joe.2003.819314
https://doi.org/10.1109/joe.2003.819314
Publikováno v:
2006 Joint 31st International Conference on Infrared Millimeter Waves and 14th International Conference on Teraherz Electronics.
Recent advances in mm-wave imaging show promise for the enhanced detection of threats hidden under clothes. This is particularly important for airport security. This paper focuses on a methodology, based on a comprehensive simulation of the physics o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::005fa20e597d0b520dbac10586883460
https://doi.org/10.1109/icimw.2006.368431
https://doi.org/10.1109/icimw.2006.368431
Publikováno v:
Europe Oceans 2005.
Accurate measurements of the locations of surfacing cetaceans (whales, dolphins and porpoises) are important data for behavioral studies and sightings surveys. A system for tracking cetacean movements based on photogrammetric analysis of digital imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4380ad8936963d32fe941cb34390c7
https://doi.org/10.1109/oceanse.2005.1511742
https://doi.org/10.1109/oceanse.2005.1511742
Autor:
D. B. Redpath, K. Lebart
Publikováno v:
Pattern Recognition and Data Mining ISBN: 9783540287575
ICAPR (1)
ICAPR (1)
It is possible to reduce the error rate of a single classifier using a classifier ensemble. However, any gain in performance is undermined by the increased computation of performing classification several times. Here the AdaboostFS algorithm is propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2fcbded999a0d70640e979729360e5f
https://doi.org/10.1007/11551188_33
https://doi.org/10.1007/11551188_33
Autor:
K. Lebart, D. B. Redpath
Publikováno v:
Multiple Classifier Systems ISBN: 9783540263067
Multiple Classifier Systems
Multiple Classifier Systems
This paper presents a study of the Boosting Feature Selection (BFS) algorithm [1], a method which incorporates feature selection into Adaboost. Such an algorithm is interesting as it combines the methods studied by Boosting and ensemble feature selec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333e5037f448e48a6b6ded23d2c86dde
https://doi.org/10.1007/11494683_4
https://doi.org/10.1007/11494683_4
Publikováno v:
Europe Oceans 2005.
This paper presents an experimental protocol developed for the design, performance estimation and comparison of underwater video classifier systems. Such systems have to be designed using application data that is small, sparse and extremely variable.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa5dc9249af91983b597a0dfe09a1b50
https://doi.org/10.1109/oceanse.2005.1513209
https://doi.org/10.1109/oceanse.2005.1513209
Autor:
K. Lebart, M. Arredondo
Publikováno v:
Europe Oceans 2005.
The use of video as an underwater sensor is wide spread in underwater communities. However, the automated processing and analysis of video data is only emerging. The underwater community can draw from an important legacy of video/optical image proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fb739b145486d4d688a87bf2deea350
https://doi.org/10.1109/oceanse.2005.1511741
https://doi.org/10.1109/oceanse.2005.1511741