Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Samir Hachour"'
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783031178009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85c76ca4df4e4f49da3b1912ee8443c
https://doi.org/10.1007/978-3-031-17801-6_11
https://doi.org/10.1007/978-3-031-17801-6_11
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783030886004
BELIEF
BELIEF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c20c03e8e129f38f1f17ac2fdd67079
https://hal.archives-ouvertes.fr/hal-03520320
https://hal.archives-ouvertes.fr/hal-03520320
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 25:947-971
This paper proposes a new assignment solution based on the Generalized Bayes’ Theorem (GBT) which aims to establish the best matching between two sets of uncertain data. In order to estimate the effectiveness of the proposition, it is compared to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e60d2bd732b502c948f7d11657a885a
https://doi.org/10.1142/s0218488517500416
https://doi.org/10.1142/s0218488517500416
Publikováno v:
International Journal of Approximate Reasoning. 90:17-36
This article proposes a method to track and classify multiple target based on kinematics data. On one hand, tracking is performed using a Probability Hypothesis Density (PHD) filter avoiding the association stage, necessary for many tracking algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddad6bdadd31819a99c185dc537b42a3
https://doi.org/10.1016/j.ijar.2017.06.013
https://doi.org/10.1016/j.ijar.2017.06.013
Publikováno v:
13th International Conference on Scalable Uncertainty Management, SUM 2019
13th International Conference on Scalable Uncertainty Management, SUM 2019, Dec 2019, Compiègne, France
Lecture Notes in Computer Science ISBN: 9783030355135
SUM
13th International Conference on Scalable Uncertainty Management, SUM 2019, Dec 2019, Compiègne, France
Lecture Notes in Computer Science ISBN: 9783030355135
SUM
International audience; In this paper, a proposition is made to learn the parameters of evidential contextual correction mechanisms from a learning set composed of soft labelled data, that is data where the true class of each object is only partially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e75eb3519a25e594f1bbd3178daefc4
https://hal.archives-ouvertes.fr/hal-03217317
https://hal.archives-ouvertes.fr/hal-03217317
Publikováno v:
2019 9th International Conference on Power and Energy Systems (ICPES).
This paper proposes a model-based decision taking solution for electrical machines winding insulation robustness study. The solution is based on the Belief Function (BF) theory. It is processed in two main steps: a first one aims to learn Weibull mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c905e3933dced1565f69bba5e0c861b9
https://doi.org/10.1109/icpes47639.2019.9105428
https://doi.org/10.1109/icpes47639.2019.9105428
This chapter proposes a multisensor multitarget Classification architecture. Each sensor is supposed to track locally a set of randomly appearing and disappearing targets using interacting multiple models (IMM) algorithms. The chapter provides some b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b45f087d2ae12f63da6dd0304cbc4cc
https://doi.org/10.1201/b18851-19
https://doi.org/10.1201/b18851-19
Publikováno v:
Information Fusion. 20:174-188
This article proposes a method to classify multiple maneuvering targets at the same time. This task is a much harder problem than classifying a single target, as sensors do not know how to assign captured measurements to known targets. This article e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c44a899df5c9d2e1be17abdb0592dcc9
https://doi.org/10.1016/j.inffus.2014.01.007
https://doi.org/10.1016/j.inffus.2014.01.007
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783319111902
Belief Functions
Belief Functions
This paper deals with the association step in a multi-sensor multi-target tracking process. A new parameterless credal method for track-to-track assignment is proposed and compared with parameter-dependent methods, namely: the well known Global Neare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef72cd66a0e700fe1b96b1ce98a7bfdd
https://doi.org/10.1007/978-3-319-11191-9_44
https://doi.org/10.1007/978-3-319-11191-9_44
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Information Processing and Management of Uncertainty in Knowledge-Based Systems, 444, Springer International Publishing, pp.200-211, 2014, Communications in Computer and Information Science, ⟨10.1007/978-3-319-08852-5_21⟩
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783319088518
IPMU (3)
Information Processing and Management of Uncertainty in Knowledge-Based Systems, 444, Springer International Publishing, pp.200-211, 2014, Communications in Computer and Information Science, ⟨10.1007/978-3-319-08852-5_21⟩
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783319088518
IPMU (3)
This paper compares several assignment algorithms in a multi-target tracking context, namely: the optimal Global Nearest Neighbor algorithm (GNN) and a few based on belief functions. The robustness of the algorithms are tested in different situations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49cb037fe0f55f8882fa9af46115e62c
https://hal-univ-artois.archives-ouvertes.fr/hal-03522234
https://hal-univ-artois.archives-ouvertes.fr/hal-03522234