Éditeur(s) : HAL CCSD
Résumé : International audience
Pen-based interfaces allow users to interact with the help of a stylus and/or fingers. Thanks to a recognition system, users can execute commands by drawing gestures. Because of the complexity of the software, the set of gesture commands can be very large. Consequently, it becomes difficult for the users to remember all the commands. In this paper we introduce "Semicustomizable gestural commands". The idea is to take into account the commands usage frequency: to facilitate the memorization of the most used commands we leave users the freedom/liberty to define their associated gestures (by) themselves. The remaining gesture commands will be automatically generated on the base of the defined gestures according to their hierarchical categorization. Several comparative tests demonstrate that this new approach improved the progressive memorization of the gestural commands.
ICFHR 2012 - International Conference on Frontiers in Handwriting Recognition
Bari, Italy

hal-00708750
https://hal.inria.fr/hal-00708750
https://hal.inria.fr/hal-00708750/document
https://hal.inria.fr/hal-00708750/file/ICFHR_LI_IEEE.pdf

Éditeur(s) : HAL CCSD IOS Press
Résumé : International audience
Asymptotic Analysis

hal-00515749
https://hal.archives-ouvertes.fr/hal-00515749

Éditeur(s) : HAL CCSD
Résumé : National audience
Actes des Journées Jeunes numériciens
Poitiers, France

hal-00770276
https://hal.univ-antilles.fr/hal-00770276

Éditeur(s) : HAL CCSD
Résumé : International audience
Revista Investigacion Operacional

hal-01312465
https://hal.archives-ouvertes.fr/hal-01312465

Éditeur(s) : HAL CCSD
Résumé : International audience
More and more animal species are endangered. In order to study and protect them, several measures have been taken, which now seem to show their limit. This work focuses on the counting process, a key issue for any project that aims to protect animals. Indeed, this paper proposes an algorithm for automatic counting of singing birds in their habitat by using wireless sensors fitted with microphone. Sensors are used to record audio samples of bird songs. These samples are used to extract some kinds of song fingerprint that are thereafter used to recognize the bird species, through a classification process. Afterwards, by analyzing data which have been collected by a central base, the network structure derived from detection fields of sensors, allows our algorithm to propose an estimate of singing birds in the habitat. This paper details the counting algorithm which uses graph theory and audio inputs comparison. Finally, we demonstrate our scheme efficiency through experimentations.
Local Computer Networks (LCN)
Clearwater, United States

hal-00786165
https://hal.archives-ouvertes.fr/hal-00786165
DOI : 10.1109/LCNW.2012.6424060

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
ISSN: 0167-9457

hal-01313456
https://hal.archives-ouvertes.fr/hal-01313456

Éditeur(s) : HAL CCSD
Résumé : International audience
In the area of the link mining, frequent pattern discovery tasks generally consist in the search for subgraphs frequently found in a network or a set of networks. Very recently, new axes of this problem has been proposed through the search for frequent links. Unlike traditional approaches that focus solely on structural regularities, frequent link mining methods exploit both the network structure and the attributes of nodes for extracting regularities in the links existing between node groups that share common characteristics. However, extracting frequent links is still a particularly challenging and computationally intensive issue since it is much dependent on the number of links. In this study, we propose a solution that is able to reduce the computing time by reducing the search to only a subset of of nodes. Experiments were conducted to understand the effects of different thresholds of the subset size on the loss of patterns and the gain in terms of computation time. Our solution proves to be efficient for a rather wide range of thresholds.
Research Challenges in Information Science
Vallence, Spain

hal-00767039
https://hal.archives-ouvertes.fr/hal-00767039
DOI : 10.1109/RCIS.2012.6240432

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
Advanced Course on Optimization: Theory, Methods and Applications
Barcelone, Spain

hal-00512860
https://hal.archives-ouvertes.fr/hal-00512860

Éditeur(s) : HAL CCSD
Résumé : International audience
We consider a second-order differential system with Hessian-driven damping . An interesting property of this system is that, after introduction of an auxiliary variable y , it can be equivalently written as a first-order system in time and space. This allows us to extend the analysis to the case of a convex lower semicontinuous potential and so to introduce constraints in the model. When considering the indicator function of a closed convex set, the subdifferential operator takes account of the contact forces. In this setting, by playing with the geometrical damping parameter, we can describe nonelastic shock laws with restitution coefficient. Taking advantage of the infinite dimensional framework, we introduce a nonlinear hyperbolic PDE describing a damped oscillating system with obstacle. The system is dissipative; in the convex case each trajectory weakly converges to a minimizer of the global potential energy function. Exponential stabilization is obtained under strong convexity assumptions.
Differential Equations & Applications

hal-00803214
https://hal.archives-ouvertes.fr/hal-00803214
https://hal.archives-ouvertes.fr/hal-00803214/document
https://hal.archives-ouvertes.fr/hal-00803214/file/Attouch-Mainge-Redont-30August2011.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
Applicationes Mathematicae

hal-00515740
https://hal.archives-ouvertes.fr/hal-00515740

Éditeur(s) : HAL CCSD
Résumé : International audience
Journal of Mathematics applied in medicine and Biology

hal-00690118
https://hal.archives-ouvertes.fr/hal-00690118

Éditeur(s) : HAL CCSD Yokohama
Résumé : International audience
Journal of Nonlinear and Convex Analysis

hal-00937184
https://hal.archives-ouvertes.fr/hal-00937184

Éditeur(s) : HAL CCSD
Résumé : National audience
Séminaire AOC-GRIMAAG
Pointe-à-Pitre, Guadeloupe

hal-00778165
https://hal.univ-antilles.fr/hal-00778165

Éditeur(s) : HAL CCSD
Résumé : International audience
In this article, we analyse a collaborative network to understand the underlying patterns that structure the co-writing process of scientific articles. Our goal is to identify and understand the collaboration tendencies from authors publishing activities. For this purpose, we adopt a descriptive modelling through a network approach that consists first in generating the collaborative network from data on publications. Nodes of the network are then enriched with a set of individual attributes extracted from the publishing activity of each author. Finally, we search for conceptual views, a recent link clustering approach, which allows to summarize any kind of networks by highlighting the sets of attributes found frequently linked. Results show that it exists strong tendencies that unconsciously structure the collaboration behaviours. In this paper, we present these tendencies and show how they evolve according to different extraction thresholds.
EEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Sydney, Australia

hal-01637563
https://hal.archives-ouvertes.fr/hal-01637563
DOI : 10.1145/3110025.3110146

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
ISSN: 0362-546X

hal-00699030
https://hal.archives-ouvertes.fr/hal-00699030

Éditeur(s) : HAL CCSD ACM
Résumé : International audience
Applications over wireless sensor networks are growing quickly. Traditional software development tools are not well adapted to this technology. In particular, adequate testing methodologies are required. Many issues have not been formally addressed as energy-conservation, congestion control, reliability data dissemination, security. In this paper, we present a pragmatic approach to detect some kind of anomalies based on defined scenarios on wireless sensor networks. A scenario is considered as a set of events which should happen on the network in an ordered way. We discuss a formal architecture able to perform these scenarios over the wireless sensor networks and to raise alarms if necessary. This methodology has been implemented on a prototype and has been experimented with various examples. This contribution is a first attempt for a formal testing methodology for wireless sensor networks.
Proceedings of the 6th ACM workshop on QoS and security for wireless and mobile networks

Droits : info:eu-repo/semantics/OpenAccess
hal-00596118
https://hal.archives-ouvertes.fr/hal-00596118
https://hal.archives-ouvertes.fr/hal-00596118/document
https://hal.archives-ouvertes.fr/hal-00596118/file/Q2sWinet_10.pdf
DOI : 10.1145/1868630.1868641

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
ISSN: 0096-3003

hal-01159713
https://hal.archives-ouvertes.fr/hal-01159713

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

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

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Aims: The aims of this study were to compare short-and long-term outcomes for clinical T2N0 oesophageal cancer with analysis of (i) primary surgery (S) versus neoadjuvant therapy plus surgery (NS), (ii) squamous cell carcinoma and adenocarcinoma subsets; and (iii) neoadjuvant chemoradiotherapy versus neoadjuvant chemotherapy.Methods: Data were collected from 30 European centres from 2000 to 2010. Among 2944 included patients, 355 patients (12.1%) had cT2N0 disease; 285 (S) and 70 (NS), were compared in terms of short-and long-term outcomes. Propensity score matching analyses were used to compensate for differences in baseline characteristics.Results: No significant differences between the groups were shown in terms of in hospital morbidity and mortality. Nodal disease was observed in 50% of S-group at the time of surgery, with 20% pN2/N3. Utilisation of neoadjuvant therapy was associated with significant tumour downstaging as reflected by increases in pT0, pN0 and pTNM stage 0 disease, this effect was further enhanced with neoadjuvant chemoradiotherapy. After adjustment on propensity score and confounding factors, for all patients and subset analysis of squamous cell and adenocarcinoma, neoadjuvant therapy had no significant effect upon survival or recurrence (overall, loco-regional, distant or mixed) compared to surgery alone. There were no significant differences between neoadjuvant chemotherapy and chemoradiotherapy in short-or long-term outcomes.Conclusion: The results of this study suggest that a surgery alone treatment approach should be recommended as the primary treatment approach for cT2N0 oesophageal cancer despite 50% of patients having nodal disease at the time of surgery.
ISSN: 0959-8049

hal-01666517
https://hal.univ-lorraine.fr/hal-01666517
DOI : 10.1016/j.ejca.2015.11.024