Publications

2017

• Quantitative analysis of normal and pathologic adrenal glands with 18F-FDOPA PET/CT
  
  • Moreau Aurélie
  • Giraudet Anne
  • Kryza David
  • Borson-Chazot Françoise
  • Bournaud Claire
  • Mognetti Thomas
  • Lifante Jean-Christophe
  • Combemale Patrick
  • Giammarile Francesco
  • Houzard Claire
  Nuclear Medicine Communications, Lippincott, Williams & Wilkins, 2017, 38 (9), pp.771-779. (10.1097/MNM.0000000000000708)
  DOI : 10.1097/MNM.0000000000000708
• Bravo monsieur Le Monde !
  
  • Zayana Karim
  Bulletion de l'APMEP, 2017. Mesurer la circonférence terrestre sans tourner en rond : Ce texte reprend un exposé donné le 10 mars 2017 au lycée Jean Zay à Paris, dans le cadre du plan national de formation « Construction des croisements didactiques en mathématiques et physique-chimie au collège
• Non-Local Patch-Based Image Inpainting
  
  • Newson Alasdair
  • Almansa Andrés
  • Gousseau Yann
  • Pérez Patrick
  Image Processing On Line, IPOL - Image Processing on Line, 2017, 7, pp.373-385. Image inpainting is the process of filling in missing regions in an image in a plausible way. In this contribution, we propose and describe an implementation of a patch-based image inpainting algorithm. The method is actually a two-dimensional version of our video inpainting algorithm proposed in [A. Newson et al., Video inpainting of complex scenes, SIAM Journal of Imaging Sciences, 7 (2014)]. The algorithm attempts to minimize a highly non-convex functional, first introducted by Wexler et al. in [Wexler et al., Space-time video completion, CCVPR (2004)]. The functional specifies that a good solution to the inpainting problem should be an image where each patch is very similar to its nearest neighbor in the unoccluded area. Iterations are performed in a multi-scale framework which yields globally coherent results. In this manner two of the major goals of image inpainting, the correct reconstruction of textures and structures, are addressed. We address a series of important practical issues which arise when using such an approach. In particular, we reduce execution times by using the PatchMatch [C. Barnes, PatchMatch: a randomized correspondence algorithm for structural image editing, ACM Transactions on Graphics, (2009)] algorithm for nearest neighbor searches, and we propose a modified patch distance which improves the comparison of textured patches. We address the crucial issue of initialization and the choice of the number of pyramid levels, two points which are rarely discussed in such approaches. We provide several examples which illustrate the advantages of our algorithm, and compare our results with those of state-of-the-art methods. (10.5201/ipol.2017.189)
  DOI : 10.5201/ipol.2017.189
• How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough
  
  • Liu Qing
  • Basu Debabrota
  • Goel Shruti
  • Abdessalem Talel
  • Bressan Stéphane
  , 2017, pp.351-359. (10.1007/978-3-319-64471-4_28)
  DOI : 10.1007/978-3-319-64471-4_28
• Discovery and Registration: Finding and Integrating Components into Dynamic Systems
  
  • Rodriguez Berha Helena
  • Moissinac Jean-Claude Jc
  , 2017, pp.325-349. One of the major gaps in the current HTML5 web platform is the lack of an interoperable means for a multimodal application to discover services and applications available in a given space and network, for example, in a smart house with a network of connected objects. To address this gap, the Multimodal Interaction Working Group has produced a draft specification based on distributed services, which aims to support the Discovery and Registration of multimodal components. In this approach, the components are described and virtualized in a Resources Manager communicating bidirectionally through dedicated events. To facilitate the fine-grained management of concurrent multimodal interactions, the Resources Manager registers the distributed components and provides to the Interaction Manager the means to control them. In this way, interoperable search, discovery, and selection of heterogeneous and dynamic features on the Web of Things can be performed by multimodal applications producing natural interaction and a semantically rich user experience. (10.1007/978-3-319-42816-1_15)
  DOI : 10.1007/978-3-319-42816-1_15
• Non-interference and local correctness in transactional memory
  
  • Kuznetsov Petr
  • Peri Sathya
  Theor. Comput. Sci., 2017, 688, pp.103-116. (10.1016/j.tcs.2016.06.021)
  DOI : 10.1016/j.tcs.2016.06.021
• Similarity and Contrast on Conceptual Spaces for Pertinent Description Generation
  
  • Sileno Giovanni
  • Bloch Isabelle
  • Atif Jamal
  • Dessalles Jean-Louis
  , 2017, LNAI 10505, pp.262-275. Within the general objective of conceiving a cognitive architecture for image interpretation able to generate outputs relevant to several target user profiles, the paper elaborates on a set of operations that should be provided by a cognitive space to guarantee the generation of relevant descriptions. First, it attempts to define a working definition of contrast operation. Then, revisiting well-known results in cognitive studies, it sketches a definition of similarity based on contrast, distin- guished from the metric defined on the conceptual space.
• The notion of self-aware computing
  
  • Kounev Samuel
  • Lewis Peter
  • Bellman Kirstie
  • Bencomo Nelly
  • Camara Javier
  • Diaconescu Ada
  • Esterle Lukas
  • Geihs Kurt
  • Giese Holger
  • Gotz Sebastian
  • Inverardi Paola
  • Kephart Jeff
  • Zisman Andrea
  , 2017, pp.3-16.
• Brain lesion detection in 3D PET images using max-trees and a new spatial context criterion
  
  • Urien Hélène
  • Buvat Irène
  • Rougon N. F.
  • Soussan Michael
  • Bloch Isabelle
  , 2017, LNCS 10225, pp.455-466. In this work, we propose a new criterion based on spatial context to select relevant nodes in a max-tree representation of an image, dedicated to the detection of 3D brain tumors for \textsuperscript{18}$F$-FDG PET images. This criterion prevents the detected lesions from merging with surrounding physiological radiotracer uptake. A complete detection method based on this criterion is proposed, and was evaluated on five patients with brain metastases and tuberculosis, and quantitatively assessed using the true positive rates and positive predictive values. The experimental results show that the method detects all the lesions in the PET.
• Détection et segmentation de tumeurs cérébrales en imagerie hybride TEP-IRM
  
  • Urien Hélène
  • Buvat Irène
  • Rougon N. F.
  • Soussan Michael
  • Bloch Isabelle
  , 2017, pp.50.
• A Minimax Optimal Algorithm for Crowdsourcing
  
  • Bonald Thomas
  • Combes Richard
  , 2017. We consider the problem of accurately estimating the reliability of workers based on noisy labels they provide, which is a fundamental question in crowdsourcing. We propose a novel lower bound on the minimax estimation error which applies to any estimation procedure. We further propose Triangular Estimation (TE), an algorithm for estimating the reliability of workers. TE has low complexity, may be implemented in a streaming setting when labels are provided by workers in real time, and does not rely on an iterative procedure. We prove that TE is minimax optimal and matches our lower bound. We conclude by assessing the performance of TE and other state-of-the-art algorithms on both synthetic and real-world data.
• A Multilingual System for Cyberbullying Detection: Arabic Content Detection using Machine Learning
  
  • Haidar Batoul
  • Chamoun Maroun
  • Serhrouchni Ahmed
  Advances in Science, Technology and Engineering Systems Journal, Advances in Science Technology and Engineering Systems Journal (ASTESJ), 2017, 2 (6), pp.275-284. (10.25046/aj020634)
  DOI : 10.25046/aj020634
• On the uncontended complexity of anonymous agreement
  
  • Capdevielle Claire
  • Johnen Colette
  • Kuznetsov Petr
  • Milani Alessia
  Distributed Computing, 2017, 30 (6), pp.459-468. (10.1007/s00446-017-0297-z)
  DOI : 10.1007/s00446-017-0297-z
• Large Scale Density-friendly Graph Decomposition via Convex Programming
  
  • Danisch Maximilien
  • Chan T-H. Hubert
  • Sozio Mauro
  , 2017.
• Optimal two-step prediction in regression
  
  • Chételat Didier
  • Lederer Johannes
  • Salmon Joseph
  Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2017, 11 (1), pp.2519-2546.
• Classification of MRI data using deep learning and Gaussian process-based model selection
  
  • Bertrand Hadrien
  • Perrot Matthieu
  • Ardon Roberto
  • Bloch Isabelle
  , 2017, pp.745-748. The classification of MRI images according to the anatomical field of view is a necessary task to solve when faced with the increasing quantity of medical images. In parallel, advances in deep learning makes it a suitable tool for computer vision problems. Using a common architecture (such as AlexNet) provides quite good results, but not sufficient for clinical use. Improving the model is not an easy task, due to the large number of hyper-parameters governing both the architecture and the training of the network, and to the limited understanding of their relevance. Since an exhaustive search is not tractable, we propose to optimize the network first by random search, and then by an adaptive search based on Gaussian Processes and Probability of Improvement. Applying this method on a large and varied MRI dataset, we show a substantial improvement between the baseline network and the final one (up to 20% for the most difficult classes).
• Parallel Combining: Making Use of Free Cycles
  
  • Aksenov Vitaly
  • Kuznetsov Petr
  Computing Research Repository, ACM / ArXiv, 2017, abs/1710.07588.
• Parametric models of phase-amplitude coupling in neural time series
  
  • Dupré La Tour Tom
  • Grenier Yves
  • Gramfort Alexandre
  , 2017.
• Demonstration of 16QAM-OFDM UDWDM Transmission Using a Tunable Optical Flat Comb Source
  
  • Hraghi Abir
  • Chaibi Mohamed E.
  • Menif Mourad
  • Erasme Didier
  Journal of Lightwave Technology, Institute of Electrical and Electronics Engineers (IEEE)/Optical Society of America(OSA), 2017, 35 (2), pp.238-245. A new approach for designing broad and flattened spectrum multicarriers optical sources is presented leading to a 32 spectral lines source using a dual-arm Mach-Zehnder modulator (MZM) and a 41 spectral lines source from two-stage MZM. A modified simulated annealing-based optimization method is applied to derive the necessary settings allowing the optical flat comb source (OFCS) to be ultraflat. The OFCS is mooted as a technology to enhance the overall capacity of an access optical network by increasing the number of WDM channels. Here, we demonstrate an ultra-dense WDM (UDWDM) trans- mission for application to passive optical networks (PON) with (11x12.5Gbps) Quadrature Amplitude Modulation (QAM) based on a 4b/s/Hz spectral efficiency orthogonal frequency division multiplex (16QAM-OFDM) transmitter and direct detection. We use an OFCS to generate the 11 subcarriers spaced by 6.25GHz, made of a two-stage MZM. We study the performance of 3 filtered channels in terms of error vector magnitude (EVM) in back-to-back (B-to-B) conditions and after propagation through 25km and 100km standard single mode fiber (SSMF). (10.1109/JLT.2016.2636442)
  DOI : 10.1109/JLT.2016.2636442
• Nonequilibrium Green's functions theory for the alpha factor of quantum cascade lasers
  
  • Pereira Mauro
  • Winge David
  • Wacker Andreas
  • Jumpertz Louise
  • Michel Florian
  • Pawlus Robert
  • Elsassaer Wolfgang
  • Schires Kevin
  • Carras Mathieu
  • Grillot Frédéric
  , 2017.
• Robust dynamic range computation for high dynamic range content
  
  • Hulusic Vedad
  • Valenzise Giuseppe
  • Debattista Kurt
  • Dufaux Frederic
  , 2017. High dynamic range (HDR) imaging has become an important topic in both academic and industrial domains. Nevertheless, the concept of dynamic range (DR), which underpins HDR, and the way it is measured are still not clearly understood. The current approach to measure DR results in a poor correlation with perceptual scores (r ≈ 0.6). In this paper, we analyze the limitations of the existing DR measure, and propose several options to predict more accurately subjective DR judgments. Compared to the traditional DR estimates, the proposed measures show significant improvements in Spearman's and Pearson's correlations with subjective data (up to r ≈ 0.9). Despite their straightforward nature, these improvements are particularly evident in specific cases, where the scores obtained by using the classical measure have the highest error compared to the perceptual mean opinion score.
• Yet another proof of the entropy power inequality
  
  • Rioul Olivier
  IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2017, 63 (6), pp.3595-3599. Yet another simple proof of the entropy power inequality is given, which avoids both the integration over a path of Gaussian perturbation and the use of Young’s inequality with sharp constant or Rényi entropies. The proof is based on a simple change of variables, is formally identical in one and several dimensions, and easily settles the equality case. (10.1109/TIT.2017.2676093)
  DOI : 10.1109/TIT.2017.2676093
• Planck intermediate results - L. Evidence of spatial variation of the polarized thermal dust spectral energy distribution and implications for CMB B-mode analysis
  
  • Aghanim N.
  • Ashdown M.
  • Aumont J.
  • Baccigalupi C.
  • Ballardini M.
  • Banday A.J.
  • Barreiro R.B.
  • Bartolo N.
  • Basak S.
  • Benabed K.
  • Bernard Jean-Paul
  • Bersanelli M.
  • Bielewicz P.
  • Bonaldi A.
  • Bonavera L.
  • Bond J.R.
  • Borrill J.
  • Bouchet F.R.
  • Boulanger F.
  • Bracco A.
  • Burigana C.
  • Calabrese E.
  • Cardoso J.F.
  • Chiang H.C.
  • Colombo L.P.L.
  • Combet C.
  • Comis B.
  • Crill B.P.
  • Curto A.
  • Cuttaia F.
  • Davis R.J.
  • de Bernardis P.
  • de Rosa A.
  • de Zotti G.
  • Delabrouille J.
  • Delouis J. M.
  • Di Valentino E.
  • Dickinson C.
  • Diego J.M.
  • Dore O.
  • Douspis M.
  • Ducout A.
  • Dupac X.
  • Dusini S.
  • Efstathiou G.
  • Elsner F.
  • Ensslin T.A.
  • Eriksen H.K.
  • Falgarone E.
  • Fantaye Y.
  • Finelli F.
  • Frailis M.
  • Fraisse A.A.
  • Franceschi E.
  • Frolov A.
  • Galeotta S.
  • Galli S.
  • Ganga K.
  • Genova-Santos R.T.
  • Gerbino M.
  • Ghosh T.
  • Giard M.
  • Gonzalez-Nuevo J.
  • Gorski K.M.
  • Gregorio A.
  • Gruppuso A.
  • Gudmundsson J.E.
  • Hansen F.K.
  • Helou G.
  • Herranz D.
  • Hivon E.
  • Huang Z.
  • Jaffe A.H.
  • Jones W.C.
  • Keihanen E.
  • Keskitalo R.
  • Kisner T.S.
  • Krachmalnicoff N.
  • Kunz M.
  • Kurki-Suonio H.
  • Lagache G.
  • Lahteenmaki A.
  • Lamarre J.M.
  • Lasenby A.
  • Lattanzi M.
  • Lawrence C.R.
  • Le Jeune M.
  • Levrier F.
  • Liguori M.
  • Lilje P.B.
  • Lopez-Caniego M.
  • Lubin P.M.
  • Macias-Perez J.F.
  • Maggio G.
  • Maino D.
  • Mandolesi N.
  • Mangilli A.
  • Maris M.
  • Martin P.G.
  • Martinez-Gonzalez E.
  • Matarrese S.
  • Mauri N.
  • Mcewen J.D.
  • Melchiorri A.
  • Mennella A.
  • Migliaccio M.
  • Mitra S.
  • Miville-Deschenes M.A.
  • Molinari D.
  • Moneti A.
  • Montier L.
  • Morgante G.
  • Moss A.
  • Naselsky P.
  • Norgaard-Nielsen H.U.
  • Oxborrow C.A.
  • Pagano L.
  • Paoletti D.
  • Partridge B.
  • Patrizii L.
  • Perdereau O.
  • Perotto L.
  • Pettorino V.
  • Piacentini F.
  • Plaszczynski S.
  • Polenta G.
  • Puget J.L.
  • Rachen J.P.
  • Reinecke M.
  • Remazeilles M.
  • Renzi A.
  • Rocha G.
  • Rossetti M.
  • Roudier G.
  • Rubino-Martin J.A.
  • Ruiz-Granados B.
  • Salvati L.
  • Sandri M.
  • Savelainen M.
  • Scott D.
  • Sirignano C.
  • Sirri G.
  • Stanco L.
  • Suur-Uski A.S.
  • Tauber J.A.
  • Tenti M.
  • Toffolatti L.
  • Tomasi M.
  • Tristram M.
  • Trombetti T.
  • Valiviita J.
  • Vansyngel F.
  • van Tent F.
  • Vielva P.
  • Wandelt B.D.
  • Wehus I.K.
  • Zacchei A.
  • Zonca A.
  Astron.Astrophys., 2017, 599, pp.A51. The characterization of the Galactic foregrounds has been shown to be the main obstacle in thechallenging quest to detect primordial B-modes in the polarized microwave sky. We make use of the Planck-HFI 2015 data release at high frequencies to place new constraints on the properties of the polarized thermal dust emission at high Galactic latitudes. Here, we specifically study the spatial variability of the dust polarized spectral energy distribution (SED), and its potential impact on the determination of the tensor-to-scalar ratio, r. We use the correlation ratio of the CBBℓ angular power spectra between the 217 and 353 GHz channels as a tracer of these potential variations, computed on different high Galactic latitude regions, ranging from 80% to 20% of the sky. The new insight from Planck data is a departure of the correlation ratio from unity that cannot be attributed to a spurious decorrelation due to the cosmic microwave background, instrumental noise, or instrumental systematics. The effect is marginally detected on each region, but the statistical combination of all the regions gives more than 99% confidence for this variation in polarized dust properties. In addition, we show that the decorrelation increases when there is a decrease in the mean column density of the region of the sky being considered, and we propose a simple power-law empirical model for this dependence, which matches what is seen in the Planck data. We explore the effect that this measured decorrelation has on simulations of the BICEP2-Keck Array/Planck analysis and show that the 2015 constraints from these data still allow a decorrelation between the dust at 150 and 353 GHz that is compatible with our measured value. Finally, using simplified models, we show that either spatial variation of the dust SED or of the dust polarization angle are able to produce decorrelations between 217 and 353 GHz data similar to the values we observe in the data. Key words: cosmic background radiation / cosmology: observations / submillimeter: ISM / dust, extinction⋆ Corresponding author: L. Montier, e-mail: Ludovic.Montier@irap.omp.eu; J. Aumont, e-mail: jonathan.aumont@ias.u-psud.fr (10.1051/0004-6361/201629164)
  DOI : 10.1051/0004-6361/201629164
• Cournot-Nash Equilibria for Bandwidth Allocation under Base-Station Cooperation
  
  • Gomez J S
  • Vergne A
  • Martins P
  • Decreusefond Laurent
  • Chen Wei
  , 2017. —In this paper, a novel resource allocation scheme based on discrete Cournot-Nash equilibria and optimal transport theory is proposed. The originality of this framework lies in the joint optimization of downlink bandwidth allocation and cooperation between base stations. A tractable formalization is given in the form of a quadratic optimization problem. A low complexity approximate solution is derived and theoretically characterized. Simulations highlight the existence of an optimal working point, that maximizes user satisfaction ratio and network load. The impact of the network deployment on the optimum is numerically investigated, thanks to the β-Ginibre model. Indeed, base stations are assumed to be drawn according to β-Ginibre point processes. Numerical analysis shows that the network performance increases with β going to one.
• Beat Gesture Prediction using Prosodic Features
  
  • Jain Varun
  • Clavel Chloé
  • Pelachaud Catherine I
  , 2017.