Machine Learning, 1997. ,
Support Vector Machines: Theory and Applications, 2005. ,
An introduction to support vector machines for data mining Keynote papers, pp.12-15, 2001. ,
On the uniform convergence of relative frequencies of events to their probabilities, Theory of Probability & Its Applications, pp.264-280, 1971. ,
Statistical Learning Theory, 1998. ,
The Nature of Statistical Learning Theory, 1995. ,
A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, 1998. ,
Efficient kernel approximation for largescale support vector machine classification, Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011. ,
Learning with kernels, 2002. ,
PAC learning and artificial neural networks, 1995. ,
Support Vector Machines: Induction Principles, Adaptive Tuning and Prior Knowledge, Thesis, 2004. ,
Learning theory: an approximation theory viewpoint. No. 24, 2007. ,
DOI : 10.1017/CBO9780511618796
Airspace complexity and its application in air traffic management, Europe Air Traffic Management R&D Seminar, 1998. ,
Total Variation Image Restoration: Overview and Recent Developments, Mathematical Models of Computer Vision, 2005. ,
DOI : 10.1007/0-387-28831-7_2
Minimal surfaces and functions of bounded variation, 1984. ,
DOI : 10.1007/978-1-4684-9486-0
Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992. ,
DOI : 10.1016/0167-2789(92)90242-F
High resolution schemes for hyperbolic conservation laws, Journal of computational physics, vol.493, pp.357-393, 1983. ,
The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory, SIAM Journal on Imaging Sciences, vol.5, issue.2, pp.537-563, 2012. ,
DOI : 10.1137/110823766
Image Processing And Analysis: Variational , Pde, Wavelet, And Stochastic Methods, Society of Industrial and Applied Mathematics, 2005. ,
Variational image inpainting, Communications on Pure and Applied Mathematics, vol.9, issue.2, pp.579-619, 2005. ,
DOI : 10.1002/cpa.20075
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.9885
Image recovery via total variation minimization and related problems, Numerische Mathematik, vol.76, issue.2, pp.167-188, 1997. ,
DOI : 10.1007/s002110050258
Analysis of bounded variation penalty methods for ill-posed problems, Inverse Problems, vol.10, issue.6, p.1217, 1994. ,
DOI : 10.1088/0266-5611/10/6/003
The Ravished Image. St, 1985. ,
Level lines based disocclusion, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 1998. ,
DOI : 10.1109/ICIP.1998.999016
Mathematical Models for Local Nontexture Inpaintings, SIAM Journal on Applied Mathematics, vol.62, issue.3, pp.1019-1043, 2002. ,
DOI : 10.1137/S0036139900368844
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.3739
Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-685, 1989. ,
DOI : 10.1002/cpa.3160420503
URL : http://nrs.harvard.edu/urn-3:HUL.InstRepos:3637121
Numerical Methods and Applications in Total Variation Image Restoration, Handbook of Mathematical Methods in Imaging, 2011. ,
Superresolution image reconstruction using fast inpainting algorithms, Applied and Computational Harmonic Analysis, vol.23, issue.1, pp.3-24, 2007. ,
DOI : 10.1016/j.acha.2006.09.005
URL : http://doi.org/10.1016/j.acha.2006.09.005
A multi-resolution stochastic level set method for Mumford-Shah image segmentation, IEEE Trans Image Process, vol.17, issue.12, pp.2289-2300, 2008. ,
Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models, SIAM Journal on Applied Mathematics, vol.66, issue.5, pp.1632-1648, 2006. ,
DOI : 10.1137/040615286
Maximal flow through a domain, Mathematical Programming, vol.19, issue.2, pp.123-143, 1983. ,
DOI : 10.1007/BF02592050
The Total Variation Approach to Approximate Hyperbolic Wave Equations ,
Fast dual minimization of the vectorial total variation norm and applications to color image processing, Inverse Problems and Imaging, vol.2, issue.4, pp.455-484, 2008. ,
DOI : 10.3934/ipi.2008.2.455
A note on the gradient of a multi-image Computer vision, graphics, and image processing 33, pp.116-125, 1986. ,
Vector-valued active contours Computer Vision and Pattern Recognition, Proceedings CVPR'96, 1996. ,
Uveitis associated with multiple sclerosis, Multiple Sclerosis Journal, vol.100, issue.3, pp.1-3, 2007. ,
DOI : 10.1212/WNL.33.11.1444
Multiple sclerosis in Foster S and itale A Diagnosis and treatment of uveitis. philadelphia: WB. Sanders company, 2002. ,
Intermediate uveitis in childhood preceding the diagnosis of multiple sclerosis: a 13-year follow-up, American Journal of Ophthalmology, vol.135, issue.6, pp.885-891, 2003. ,
DOI : 10.1016/S0002-9394(02)01702-6
Retinal Venous Sheathing and the Blood-Retinal Barrier in Multiple Sclerosis, Archives of Ophthalmology, vol.114, issue.1, pp.34-43, 1996. ,
DOI : 10.1001/archopht.1996.01100130032005
Granulomatous uveitis in neurological disease., British Journal of Ophthalmology, vol.69, issue.3, pp.192-198, 1985. ,
DOI : 10.1136/bjo.69.3.192
Vascularites rétiniennes proliférantes et slérose en plaque, J Fr Ophtalmmol, vol.264, pp.381-386, 2003. ,
Pathology of parsplanitis, Am J Ophtalmol, vol.1986, pp.762-774 ,
Severe Periphlebitis, Peripheral Retinal Ischemia, and Preretinal Neovascularization in Patients With Multiple Sclerosis, American Journal of Ophthalmology, vol.113, issue.1, pp.28-32, 1992. ,
DOI : 10.1016/S0002-9394(14)75748-4
Fundamentals and clinical practice, pp.354-63 ,
Standardization of uveitis nomenclature for reporting clinical data. Results of the First International Workshop, American journal of ophthalmology, vol.1403, pp.509-516, 2005. ,
Clinically isolated syndromes suggestive of multiple sclerosis, part I: natural history, pathogenesis, diagnosis, and prognosis, The Lancet Neurology, vol.4, issue.5, pp.281-288, 2005. ,
DOI : 10.1016/S1474-4422(05)70071-5
Global Prevalence of Diabetes: Estimates for the year 2000 and projections for 2030, Diabetes Care, vol.27, issue.5, pp.1047-1053, 2004. ,
DOI : 10.2337/diacare.27.5.1047
Sensitivity and specificity of photography and direct ophthalmology in screening for sight threatening eye disease: the Liverpool Diabetic Eye study, British Medical Journal, pp.311-1131, 1995. ,
Automated image detection of retinal pathology, 2010. ,
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response, IEEE Transactions on Medical Imaging, vol.19, issue.3, pp.203-310, 2000. ,
DOI : 10.1109/42.845178
Detection of blood vessels in retinal images using two-dimensional matched filters, IEEE Transactions on Medical Imaging, vol.8, issue.3, pp.263-369, 1989. ,
DOI : 10.1109/42.34715
Microphotometry of the blood column and the light streak on retinal vessels in fundus photographs, Acta Ophthalmologica, vol.9, issue.Suppl 179, pp.9-19, 1986. ,
DOI : 10.1111/j.1755-3768.1986.tb00698.x
Theoretical relationships between light streak characteristics and optical properties of retinal vessels, Acta Ophthalmological Supplement, vol.179, pp.33-37, 1986. ,
Automated Grading of Venous Beading, Computers and Biomedical Research, vol.28, issue.4, pp.291-304, 2000. ,
DOI : 10.1006/cbmr.1995.1020
Computer algorithms for the automated measurement of retinal arteriolar diameters, British Journal of Ophthalmology, vol.85, issue.1, pp.75-79, 2001. ,
DOI : 10.1136/bjo.85.1.74
Fast Retinal Vessel Detection and Measurement Using Wavelets and Edge Location Refinement, PLoS ONE, vol.12, issue.3, p.2012 ,
DOI : 10.1371/journal.pone.0032435.s001
URL : http://doi.org/10.1371/journal.pone.0032435
Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992. ,
DOI : 10.1016/0167-2789(92)90242-F
Astronomical image and signal processing: looking at noise, information and scale, IEEE Signal Processing Magazine, vol.18, issue.2, pp.30-34, 2001. ,
DOI : 10.1109/79.916319
Extraction of spots in biological images using multiscale products, Pattern Recognition, vol.35, issue.9, 1989. ,
DOI : 10.1016/S0031-3203(01)00127-3
The Undecimated Wavelet Decomposition and its Reconstruction, IEEE Transactions on Image Processing, vol.16, issue.2, pp.297-309, 2007. ,
DOI : 10.1109/TIP.2006.887733
URL : https://hal.archives-ouvertes.fr/hal-00080092
A model based method for retinal blood vessel detection, Computers in Biology and Medicine, vol.34, issue.3, pp.209-219, 2004. ,
DOI : 10.1016/S0010-4825(03)00055-6
Choosing nodes in parametric curve interpolation, Computer-Aided Design, vol.21, issue.6, pp.363-370, 1989. ,
DOI : 10.1016/0010-4485(89)90003-1
Computer algorithms for the automated measurement of retinal arteriolar diameters, British Journal of Ophthalmology, vol.85, issue.1, pp.74-79, 2001. ,
DOI : 10.1136/bjo.85.1.74
Releable measurements from fundus photographs in the presence of focusing errors, Invest Ophthalmol Vis Sci, vol.30, pp.674-677, 1989. ,
Prevalence and Associations of Enhanced Retinal Arteriolar Light Reflex, Ophthalmology, vol.114, issue.1, pp.113-120, 2007. ,
DOI : 10.1016/j.ophtha.2006.06.046
Effect of viagra on retinal vein diameter in AMD patients, Experimental Eye Research, vol.83, issue.1, pp.128-132 ,
DOI : 10.1016/j.exer.2005.11.012
Theoretical relations between light streak characteristics and optical properties of retinal vessels, Acta Ophthalmologica, vol.9, issue.Suppl 179, pp.33-37, 1986. ,
DOI : 10.1111/j.1755-3768.1986.tb00701.x
Automatic Grading of Retinal Vessel Caliber, IEEE Transactions on Biomedical Engineering, vol.52, issue.7, pp.1352-1355, 2005. ,
DOI : 10.1109/TBME.2005.847402
Measurement of Retinal Vessel Widths From Fundus Images Based on 2-D Modeling, IEEE Transactions on Medical Imaging, vol.23, issue.10, pp.1196-1204, 2004. ,
DOI : 10.1109/TMI.2004.830524
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011. ,
DOI : 10.1145/1961189.1961199
Blood vessel segmentation methodologies in retinal images ??? A survey, Computer Methods and Programs in Biomedicine, vol.108, issue.1, pp.407-433, 2012. ,
DOI : 10.1016/j.cmpb.2012.03.009
Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification, IEEE Transactions on Medical Imaging, vol.26, issue.10, 2007. ,
DOI : 10.1109/TMI.2007.898551
Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter, IEEE Transactions on Biomedical Engineering, vol.49, issue.2, pp.168-172, 2002. ,
DOI : 10.1109/10.979356
Retinal vessel extraction by matched filter with first-order derivative of Gaussian, Computers in Biology and Medicine, vol.40, issue.4, pp.438-445, 2010. ,
DOI : 10.1016/j.compbiomed.2010.02.008
An improved matched filter for blood vessel detection of digital retinal images, Computers in Biology and Medicine, vol.37, issue.2, pp.262-267, 2007. ,
DOI : 10.1016/j.compbiomed.2006.03.003
High speed detection of retinal blood vessels in fundus image using phase congruency, Soft Computing ? A Fusion of Foundations, pp.1-14, 2010. ,
Recursive tracking of vascular networks in angiograms based on the detection-deletion scheme, IEEE Transactions on Medical Imaging, vol.12, issue.2, pp.334-341, 1993. ,
DOI : 10.1109/42.232264
The detection and quantification of retinopathy using digital angiograms, IEEE Transactions on Medical Imaging, vol.13, issue.4, pp.619-626, 1994. ,
DOI : 10.1109/42.363106
Automatic model-based tracing algorithm for vessel segmentation and diameter estimation. Computer methods and programs in biomedicine 100, pp.108-122, 2010. ,
DOI : 10.1016/j.cmpb.2010.03.004
URL : http://dspace.lib.ntua.gr/handle/123456789/20238
Retinal blood vessel detection and tracking by matched Gaussian and Kalman filters, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286), pp.3144-3149, 1998. ,
DOI : 10.1109/IEMBS.1998.746160
Live-vessel: extending live wire for simultaneous extraction of optimal medial andboundary paths in vascular images, Proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, 2007. ,
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation, IEEE Transactions on Image Processing, vol.10, issue.7, pp.1010-1019, 2001. ,
DOI : 10.1109/83.931095
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction, IEEE Transactions on Medical Imaging, vol.25, issue.9, pp.1200-1213, 2006. ,
DOI : 10.1109/TMI.2006.879955
An Automatic Hybrid Method for Retinal Blood Vessel Extraction, International Journal of Applied Mathematics and Computer Science, vol.18, issue.3, pp.399-407, 2008. ,
DOI : 10.2478/v10006-008-0036-5
URL : http://doi.org/10.2478/v10006-008-0036-5
Morphological Multiscale Enhancement, Fuzzy Filter and Watershed for Vascular Tree Extraction in Angiogram, Journal of Medical Systems, vol.23, issue.1, 2010. ,
DOI : 10.1007/s10916-010-9466-3
Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction, IEEE Transactions on Biomedical Engineering, vol.58, issue.5, pp.1183-1192, 2011. ,
DOI : 10.1109/TBME.2010.2097599
A computer method of understanding ocular fundus images, Pattern Recognition, vol.15, issue.6, pp.431-443, 1982. ,
DOI : 10.1016/0031-3203(82)90022-X
Back-propagation network and its configuration for blood vessel detection in angiograms, IEEE Transactions on Neural Networks, vol.6, issue.1, pp.64-72, 1995. ,
DOI : 10.1109/72.363449
Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images, British Journal of Ophthalmology, vol.83, issue.8, pp.83-902, 1999. ,
DOI : 10.1136/bjo.83.8.902
Ridge-Based Vessel Segmentation in Color Images of the Retina, IEEE Transactions on Medical Imaging, vol.23, issue.4, pp.501-509, 2004. ,
DOI : 10.1109/TMI.2004.825627
Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification, IEEE Transactions on Medical Imaging, vol.25, issue.9, pp.1214-1222, 2006. ,
DOI : 10.1109/TMI.2006.879967
Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy, Medical & Biological Engineering & Computing, vol.18, issue.3, pp.45-261, 2007. ,
DOI : 10.1007/s11517-006-0141-2
A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features, IEEE Transactions on Medical Imaging, vol.30, issue.1, pp.146-158, 2011. ,
DOI : 10.1109/TMI.2010.2064333
Toward Air Traffic Complexity Assessment in New Generation Air Traffic Management Systems, IEEE Transactions on Intelligent Transportation Systems, vol.12, issue.3, pp.809-818, 2011. ,
DOI : 10.1109/TITS.2011.2113175
URL : https://hal.archives-ouvertes.fr/hal-01020894
Andrea Ranieri Combinatorial Exchange Models for a User-Driven Air Traffic Flow Management in Europe ,
Airspace complexity and its application in air traffic management metric, EUROPE ATM R&D seminar, vol.2, 1998. ,
Air traffic complexity resolution in multi-sector planning using constraint programming, Air Traffic Management R&D Seminar, 2007. ,
Airspace fractal dimension and applications, Fourth USA, 2001. ,
Describing Airspace Complexity: Airspace Response to Disturbances, Journal of Guidance, Control, and Dynamics, vol.32, issue.1, pp.210-222, 2009. ,
DOI : 10.2514/1.36308
Conflict resolution problems for air traffic management systems solved with mixed integer programming, IEEE Transactions on Intelligent Transportation Systems, vol.3, issue.1, pp.3-11, 2002. ,
DOI : 10.1109/6979.994791
Air traffic complexity: Towards intrinsic metrics, Proc. 3rd FAA, 2000. ,
New trends in air traffic complexity, ENRI International Workshop on ATM/CNS, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00938199
Dynamic density : an air traffic management metric, 1998. ,
Mathematical Models for Aircraft Trajectory Design: A Survey, EIWAC 2013 ,
DOI : 10.1007/978-4-431-54475-3_12
URL : https://hal.archives-ouvertes.fr/hal-00913243
Structural considerations and cognitive complexity in air traffic control, Proceedings. The 21st Digital Avionics Systems Conference, pp.1-2, 2002. ,
DOI : 10.1109/DASC.2002.1067894
URL : https://hal.archives-ouvertes.fr/hal-00938407
Introducing structural considerations into complexity metrics, 2002. ,
Predicting sector capacity for traffic flow management decision support, th AIAA Aviation Technology, Integration and Operations Conference, 2006. ,
The impact of severe weather on sector capacity, 8th USA/Europe Air Traffic Management Research and Development Seminar (ATM2009), 2009. ,
A simple and robust flow detection algorithm based on spectral clustering, ICRAT Conference, 2012. ,
Automated flight track taxonomy for measuring benefits from performance based navigation Integrated Communications, Navigation and Surveillance Conference, 2009. ,
Two perspectives on graphbased traffic flow management, First SESAR Innovation Days, 2011. ,
Identifying Temporally Persistent Flows in the Terminal Airspace via Spectral Clustering, Tenth USAEurope Air Traffic Management Research and Development Seminar, 2013. ,
Air traffic complexity map based on non linear dynamical systems, Air Traffic Control Quarterly, vol.12, issue.4, 2004. ,
DOI : 10.1109/cdc.2010.5718004
URL : https://hal.archives-ouvertes.fr/hal-01004143
Air traffic complexity based on dynamical systems, 49th IEEE Conference on Decision and Control (CDC), 2010. ,
DOI : 10.1109/CDC.2010.5718004
URL : https://hal.archives-ouvertes.fr/hal-00938405
An introduction to splines for use in computer graphics and geometric modeling, Computer graphics, 1998. ,
Scientific computing, an introductory survey, Computer graphics, 2002. ,
Piecewise polynomial interpolation and approximation , Proceeding of the General Motors Symposium of 1964, General Motors, 1964. ,
The essentials of cagd, 2000. ,
Curves and surfaces for computer aided geometric design. a practical guide, 1993. ,
A practical guide to splines, 1978. ,
DOI : 10.1007/978-1-4612-6333-3