Éditeur(s) : HAL CCSD
Résumé : International audience
This paper shows the information criteria (IC) performances in feature selection framework. Feature selection aims to select a representative subset among a wide set of features. We apply this approach to classify an hand segmented image. The performance is tested using various feature selection schemes (SFS, SBS, SFFS and SBFS) to select the candidate subsets. The accuracy of the approach is based on a good quality of the joint probability density approximation of the combined features. They are obtained using histogram optimized thanks to the adaptive arithmetic coding principles. Our approach is tested on different reference data. The subsets quality is evaluated using correct classification rate computed on multiple classifiers. Results show stability and convergence properties of this tool and its ability to select representative subsets (in the sense that the subset of feature is a good characterization of the classes in which the data belong). Information Criteria could be used for feature selection as a good alternative to other criteria.
CISP Proceedings
Shangay, China

hal-00634749
https://hal.archives-ouvertes.fr/hal-00634749

Éditeur(s) : HAL CCSD
Résumé : International audience
Colloque Télédétection de Outils Mathématiques pour le Développement Durable (TOMaADD)
Cayenne, French Guiana

hal-01313396
https://hal.archives-ouvertes.fr/hal-01313396

Éditeur(s) : HAL CCSD
Résumé : International audience
IF&GIS
St Petersburg, Russia

hal-01313387
https://hal.archives-ouvertes.fr/hal-01313387

Éditeur(s) : HAL CCSD
Résumé : National audience
RFIA
Lyon, France

hal-01313397
https://hal.archives-ouvertes.fr/hal-01313397

Éditeur(s) : HAL CCSD
Résumé : International audience
SELPER
Cayenne, French Guiana

hal-01313392
https://hal.archives-ouvertes.fr/hal-01313392

Éditeur(s) : HAL CCSD
Résumé : International audience
Proceedings of Geoprocessing

hal-00509489
https://hal.archives-ouvertes.fr/hal-00509489

Éditeur(s) : HAL CCSD
Résumé : International audience
World's Large Rivers Conference
Manaus, Brazil

hal-01313383
https://hal.archives-ouvertes.fr/hal-01313383

Éditeur(s) : HAL CCSD
Résumé : International audience
This paper deals with data structures within GIS. Continuous phenomenons are usually represented by raster structures for simplicity reasons. With such structures spatial repartitions of the data is not easily interpretable. Moreover, in an overlapping clustering context these structures remove the links between the data and the algorithms. We propose a vector representation of such data based on non-regular multi-rings polygons. The structure requires multipart nested polygons and new set operations. We present the formalism based on belief theory and uncertainty reasoning. We also detail the implementation of the structures and the set operations. The structures and the set operations are illustrated in the context of forest classification having diffuse transitions.
IF&GIS
Shangai, China

hal-01514239
https://hal.archives-ouvertes.fr/hal-01514239

Éditeur(s) : HAL CCSD
Résumé : International audience
In this paper we propose a hybrid approach using mutual information and multi-objective optimization for feature subset selection problem. The hybrid aspect is due to the sequence of a filter method and a wrapper method in order to take advantages of both. The filter method reduces the exploration space by keeping subsets having good internal properties and the wrapper method chooses among the remaining subsets with a classification performances criterion. In the filter step, the subsets are evaluated in a multi-objective way to ensure diversity within the subsets. The evaluation is based on the mutual information to estimate the dependency between features and classes and the redundancy between features within the same subset. We kept the non-dominated (Pareto optimal) subsets for the second step. In the wrapper step, the selection is made according to the stability of the subsets regarding classification performances during learning stage on a set of classifiers to avoid the specialization of the selected subsets for a given classifiers. The proposed hybrid approach is experimented on a variety of reference data sets and compared to the classical feature selection methods FSDD and mRMR. The resulting algorithm outperforms these algorithms and the computation complexity remains acceptable even if it increases with regards to these two fast selection methods.
Journal of Informatics and Mathematical Sciences

hal-01375982
https://hal.archives-ouvertes.fr/hal-01375982

Éditeur(s) : HAL CCSD
Résumé : International audience
This work proposes an original approach using mutual information and Pareto curve jointly for feature selection. Mutual information is used to estimate dependency criterion between features and classes and redundancy criterion between features taken two by two. Unlike some studies, these criteria are used simultaneously to compute Pareto curve and determine the optimal feature sets. This approach is tested on more reference data. Several clustering algorithms are used to compute classification accuracy. The obtained results show the importance of our tools and its ability to select the best feature sets that give the better description.
GRETSI Proceedings
Bordeaux, France

hal-00602260
https://hal.archives-ouvertes.fr/hal-00602260

Éditeur(s) : HAL CCSD
Résumé : International audience
IAHR
La Haye, Netherlands

hal-01313382
https://hal.archives-ouvertes.fr/hal-01313382

Éditeur(s) : HAL CCSD
Résumé : International audience
IHMA
Lille, France

hal-01313395
https://hal.archives-ouvertes.fr/hal-01313395

Éditeur(s) : HAL CCSD
Résumé : Session "Articles"
National audience
Nous présentons ici une méthode permettant de créer et de représenter sous forme vectorielle des classes de transition à partir d'une classification supervisée basée sur des arbres de décision flous. Cette méthode est particulièrement utile pour la classification stricte de données dont les frontières sont naturellement diffuses ainsi que pour leur représentation au sein d'un System d'Information Géographique. C'est le cas par exemple des formations forestières entre lesquels les transitions sont généralement étalées sur plusieurs centaines de mètres avec des gradients dépendant de condition environnementales locales ne permettant pas de définir une transition identique dans toutes les directions. La méthode présentée permet d'ajouter des classes lorsque les zones de transition sont trop étendues plutôt que de fixer une frontière arbitrairement
Actes de la conférence RFIA 2012
Lyon, France

Droits : info:eu-repo/semantics/OpenAccess
hal-00656502
https://hal.archives-ouvertes.fr/hal-00656502
https://hal.archives-ouvertes.fr/hal-00656502/document
https://hal.archives-ouvertes.fr/hal-00656502/file/rfia2012_submission_57.pdf

Éditeur(s) : HAL CCSD
Résumé : National audience
EIAH Proceedings

hal-00634758
https://hal.archives-ouvertes.fr/hal-00634758

Éditeur(s) : HAL CCSD
Résumé : International audience
This paper deals with hybrid optimization take different methods to solve a complex problem. As if the choice of concerning methods is important, the way to combine them is determinant for an ef cient search. The article deals with cooperation strategy between the different layers of an hybrid optimization algorithm. We describ the way it is articulated for an Satellite Constellation Optimization problem. This cooperation allows a dynamical adaptation of the optimization algorithm parameters according to the mutual advance of each search
Journal Européen des Systèmes Avancés

hal-00602267
https://hal.archives-ouvertes.fr/hal-00602267

Éditeur(s) : HAL CCSD
Résumé : International audience
ICECS Proceedings
Dubai, United Arab Emirates

hal-00509490
https://hal.archives-ouvertes.fr/hal-00509490

Éditeur(s) : HAL CCSD
Résumé : International audience
IGARSS
Melbourne, Australia

hal-01313386
https://hal.archives-ouvertes.fr/hal-01313386

Éditeur(s) : HAL CCSD
Résumé : International audience
SELPER
Cayenne, French Guiana

hal-01313391
https://hal.archives-ouvertes.fr/hal-01313391

Éditeur(s) : HAL CCSD
Résumé : International audience
Les écosystèmes forestiers des Caraïbes

hal-00634756
https://hal.archives-ouvertes.fr/hal-00634756

Éditeur(s) : HAL CCSD Kluwer
Résumé : This paper presents some considerations about hybrid optimization algorithms useful to optimize real complex system. The given indication could be used by readers to conceive hybrid algorithms. These considerations have been deducted from a concrete application case: the satellites constellations design problem. But each of the advanced techniques proposed in this paper are considered in a more general way to solve other problems. This problem is used to illustrate the techniques along the paper because it is grouping many characteristics (di culties) of contemporary real complex systems: the size and the characteristics of the search space engendered by a combinatorial problem; The irregularity of the criterions; The mathematical and physical heterogeneity of parameters forbids the use of classical algorithms; The evaluation of a solution, which uses a time consuming simulation; A need of accurate values. More details are available in previous papers ([?], [?], [?], [?]). For these reasons, we could learn a lot from this experiment in order to detach hybrid techniques usable for problems having close characteristics. This paper presents the historic leading to the current algorithm, the modeling of the complex system and the sophisticated algorithm proposed to optimize it. Application cases and ways to built signi cant tests of hybrid algorithm are also given.
International Federation for Information Processing

hal-00602279
https://hal.archives-ouvertes.fr/hal-00602279