Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hamid Benhadda"'
Publikováno v:
Machine Learning
One of the most used techniques among many others in the data mining field is the clustering. The aim of this technique is to synthetize and summarize huge amounts of data by splitting it into small and homogenous clusters such that the data (observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::406446ed43e9c47b2317a584441e7b18
http://www.intechopen.com/articles/show/title/relational-analysis-for-clustering-consensus
http://www.intechopen.com/articles/show/title/relational-analysis-for-clustering-consensus
Autor:
Francois Capman, Hamid Benhadda, Stéphanie Joudrier, Rhalem Zouaoui, David Sodoyer, Romaric Audigier, Sébastien Ambellouis, Thierry Lamarque
Publikováno v:
SPIE EUROPE SECURITY + DEFENCE
SPIE EUROPE SECURITY + DEFENCE, Sep 2015, Toulouse, France. 16p
SPIE EUROPE SECURITY + DEFENCE, Sep 2015, Toulouse, France. 16p
SPIE EUROPE SECURITY + DEFENCE , Toulouse, France, 21-/09/2015 - 24/09/2015; Public transport security is one of the main priorities of the public authorities when fighting against crimes and terrorism. In this context, there is a great demand for au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96349ad9a0c3a956ed7bdecafaffc52e
https://hal.archives-ouvertes.fr/hal-01471615
https://hal.archives-ouvertes.fr/hal-01471615
Publikováno v:
Intelligent Video Surveillance Systems
Jean Yves Dufour. Intelligent Video Surveillance Systems, John Wiley & Sons, Inc., Hoboken, NJ USA., 2013, ⟨10.1002/9781118577851.ch14⟩
Jean Yves Dufour. Intelligent Video Surveillance Systems, John Wiley & Sons, Inc., Hoboken, NJ USA., 2013, ⟨10.1002/9781118577851.ch14⟩
International audience; In this chapter, we first present the state of the art in the domain. After we discuss how we achieve the pre-processing of the data. Then activity analysis and automatic classification is presented and finally we provide some
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb359e8dd8198aa0c5c9531216f3935
https://inria.hal.science/hal-01059458
https://inria.hal.science/hal-01059458
Publikováno v:
IET Computer Vision
IET Computer Vision, 2008, Special Issue on Visual Information Engineering, 2 (2), pp 108-128
IET Computer Vision, IET, 2008, Special Issue on Visual Information Engineering, 2 (2), pp 108-128
IET Computer Vision, 2008, Special Issue on Visual Information Engineering, 2 (2), pp 108-128
IET Computer Vision, IET, 2008, Special Issue on Visual Information Engineering, 2 (2), pp 108-128
International audience; Extracting the hidden and useful knowledge embedded within video sequences and thereby discovering relations between the various elements to help an efficient decision-making process is a challenging task. The task of knowledg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18ff0d1ce23d7093382a629ade47271b
https://hal.inria.fr/inria-00502826/file/Patino_paper_ietcv_hal.pdf
https://hal.inria.fr/inria-00502826/file/Patino_paper_ietcv_hal.pdf
Publikováno v:
ICMLA
This paper deals with the problem of combining multiple clustering algorithms using the same data set to get a single consensus clustering. Our contribution is to formally define the cluster consensus problem as an optimization problem. to reach this