A mathematical theory of evidence, vol.1, 1976. ,
Upper and lower probabilities induced by a multivalued mapping, The annals of mathematical statistics, pp.325-339, 1967. ,
Introduction to machine learning, 2010. ,
Machine learning : a probabilistic perspective, 2012. ,
Learning deep representations : Toward a better new understanding of the deep learning paradigm, 2013. ,
URL : https://hal.archives-ouvertes.fr/tel-00842447
Deep learning, 2016. ,
Fuzzy sets as a basis for a theory of possibility, vol.100, pp.9-34, 1999. ,
Théorie des possibilités, 1985. ,
Information combination operators for data fusion : a comparative review with classification, IEEE Transactions on Systems, Man, and Cybernetics-Part A : Systems and Humans, vol.26, issue.1, pp.52-67, 1996. ,
A mathematical theory of hints : An approach to the Dempster-Shafer theory of evidence, vol.425, 2013. ,
The combination of evidence in the transferable belief model, IEEE Transactions, vol.12, issue.5, pp.447-458, 1990. ,
The transferable belief model, Artificial intelligence, vol.66, issue.2, pp.191-234, 1994. ,
URL : https://hal.archives-ouvertes.fr/hal-01185821
Fusion adaptée d'informations conflictuelles dans le cadre de la théorie de l'évidence application au diagnostic médical, 2001. ,
Belief functions : the disjunctive rule of combination and the generalized bayesian theorem, International Journal of approximate reasoning, vol.9, issue.1, pp.1-35, 1993. ,
Belief functions : theory and algorithms, 2014. ,
Combining belief functions when evidence conflicts, vol.29, pp.1-9, 2000. ,
Fusion de classifieurs pour la classification d'images sonar, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00286591
Comparative study of information fusion methods for sonar images classification, 2005 7th International Conference on Information Fusion, vol.2, p.7, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-00518722
Discountings of a belief function using a confusion matrix, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence, vol.1, pp.287-294, 2010. ,
Assessing sensor reliability for multisensor data fusion within the transferable belief model, IEEE Transactions on Systems, Man, and Cybernetics, vol.34, issue.1, pp.782-787, 2004. ,
Conflict measure for the discounting operation on belief functions, Information Fusion, 2008 11th International Conference on, pp.1-8, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00518580
Bayes' theorem generalized for belief functions, Proc. ecai-86, vol.2, pp.169-171, 1986. ,
Tiré à part-Office national d'études et de recherches aerospatiales, 1991. ,
A k-nearest neighbor classification rule based on dempster-shafer theory, IEEE transactions on systems, man, and cybernetics, vol.25, pp.804-813, 1995. ,
An adaptive k-nn rule based on dempster-shafer theory, International conference on computer analysis of images and patterns, pp.310-317, 1995. ,
An evidence-theoretic k-nn rule with parameter optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.28, issue.2, pp.263-271, 1998. ,
An evidence-theoretic k-nearest neighbor rule for multi-label classification, International Conference on Scalable Uncertainty Management, pp.297-308, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00450223
Likelihood-based vs. distance-based evidential classifiers, The 10th IEEE International Conference on, vol.1, pp.320-323, 2001. ,
Fonctions de croyance : de la théorie à la pratique, 2012. ,
Vers un système d'évaluation de la qualité d'image multicritères, 2010. ,
500-11, methodology for the subjective assessment of the quality of television pictures, International Telecommunication Union, vol.4, issue.2, 2002. ,
Subjective audiovisual quality assessment methods for multimedia applications ,
Subjective quality assessment irccyn/ivc database, 2005. ,
Live image quality assessment database, 2006. ,
Image quality evaluation database, 2008. ,
Most apparent distortion : full-reference image quality assessment and the role of strategy, Journal of Electronic Imaging, vol.19, issue.1, pp.11-17, 2010. ,
Color image database tid2013 : Peculiarities and preliminary results, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01111092
Mean squared error : love it or leave it ? a new look at signal fidelity measures, Signal Processing Magazine, IEEE, vol.26, issue.1, pp.98-117, 2009. ,
The effects of a visual fidelity criterion on the encoding of images, IEEE Transactions Information Theory, vol.4, pp.525-536, 1974. ,
Evaluation of contrast sensitivity functions for the formulation of quality measures incorporated in halftoning algorithms, Acoustics, Speech, and Signal Processing, vol.5, pp.301-304, 1993. ,
A wigner-ville distribution-based image dissimilarity measure, ISSPAInternational Symposium on Signal Processing and Its Applications, vol.1, pp.430-433, 2001. ,
A new image distortion measure based wavelet decomposition, ISSPAInternational Symposium on Signal Processing and Its Applications, vol.2, pp.485-488, 2003. ,
A universal image quality index, IEEE Signal Processing Letters, vol.2, pp.81-84, 2002. ,
Structural approaches to image quality assessment, Handbook of Image and Video Processing, vol.7, p.18, 2005. ,
Multiscale structural similarity for image quality assessment, Signals, Systems and Computers, vol.2, pp.1398-1402, 2003. ,
Image information and visual quality, IEEE Transactions on, vol.15, issue.2, pp.430-444, 2006. ,
, VQEG :the video quality experts group
Reduced-reference quality assessment for jpeg-2000 compressed image, IEICE Trans. Commun, vol.5, pp.1287-1294, 2008. ,
Reduced reference image quality assessment using regularity of phase congruency, Signal Processing : Image Communication, vol.29, issue.8, pp.844-855, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01074889
Reduced-reference image quality assessment using a wavelet-domain natural image statistic model, SPIE Human Vis. Electron. Imag, vol.5666, pp.149-159, 2005. ,
Quaternionic wavelet coefficients modeling for a reduced-reference metric, Signal Processing : Image Communication, vol.36, pp.127-139, 2015. ,
No-reference quality assessment using natural scene statistics : Jpeg2000, IEEE Trans. Image Process, vol.14, pp.1918-1927, 2005. ,
No reference image quality assessment for jpeg2000 based on spatial features, Image Commun, vol.23, issue.4, pp.257-268, 2008. ,
No-reference perceptual quality assessment of jpeg compressed images, Proc. IEEE International Conference on Image Processing, vol.1, 2002. ,
Image quality assessment using a neural network approach, Proceedings of the Fourth IEEE International Symposium on, pp.330-333, 2004. ,
Objective image quality assessment based on support vector regression, IEEE Transactions on Neural Networks, vol.21, issue.3, pp.515-519, 2010. ,
Image quality assessment by using neural networks, IEEE International Symposium onCircuits and Systems, vol.5, pp.253-256, 2002. ,
Image quality assessment based on wavelet coefficients using neural network, International Symposium on Neural Networks, vol.2, pp.853-859, 2007. ,
Objective quality assessment of displayed images by using neural networks, Image Commun, vol.20, issue.7, pp.643-661, 2005. ,
No-reference jpeg-image quality assessment using gap-rbf, Signal Process, vol.87, issue.6, pp.1493-1503, 2007. ,
A novel free reference image quality metric using neural network approach, Proc. Int. Workshop Video Process. Qual. Metrics Cons. Electrn, pp.1-4, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-01796462
,
Blind image quality assessment using a general regression neural network, IEEE Transactions on Neural Networks, vol.22, issue.5, pp.793-799, 2011. ,
Blind image quality assessment : A natural scene statistics approach in the dct domain, IEEE Transactions on Image Processing, vol.21, pp.3339-3352, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00811769
No-reference image quality assessment in the spatial domain, IEEE Transactions on Image Processing, vol.21, pp.4695-4708, 2012. ,
Libsvm : A library for support vector machines, 2001. ,
Making a "completely blind" image quality analyzer, IEEE Signal Processing Letters, vol.20, issue.3, pp.209-212, 2013. ,
No-reference image quality assessment in curvelet domain, ELSEVIER Signal Processing : Image Communication, vol.29, pp.494-505, 2014. ,
Fuzzy Sets, Information and Control, vol.8, pp.338-353, 1965. ,
Nonparametric regression analysis of uncertain and imprecise data using belief functions, International Journal of Approximate Reasoning, vol.35, issue.1, pp.1-28, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-01434491
The degree of belief in a fuzzy event, Information Sciences, vol.25, issue.1, pp.1-19, 1981. ,
Generalized probabilities of fuzzy events from fuzzy belief structures, Information Sciences, vol.28, issue.1, pp.45-62, 1982. ,
Color image database tid2013 : Peculiarities and preliminary results, Visual Information Processing (EUVIP), pp.106-111, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-01111092
A two-step framework for constructing blind image quality indices, IEEE Signal Processing Letters, vol.17, issue.5, pp.513-516, 2010. ,
,
No-reference image quality assessment based on spatial and spectral entropies, Signal Processing : Image Communication, vol.29, issue.8, pp.856-863, 2014. ,
Application du modèle des croyances transférables en reconnaissance de formes, rn (A), vol.1, issue.2, 1998. ,
A statistical evaluation of recent full reference image quality assessment algorithms, IEEE Transactions on Image Processing, vol.15, issue.11, pp.3440-3451, 2006. ,
Support vector machines for classification and regression, ISIS technical report, vol.14, 1998. ,
Image quality assessment : from error visibility to structural similarity, IEEE Transactions on Image Processing, vol.13, issue.4, pp.600-612, 2004. ,
Enquête, livres i à iv, texte présenté, traduit et annoté par andrée barguet, Paris, Gallimard (Collection :«Folio»), 1985. ,
, Information hiding : first international workshop, vol.1174, pp.39-48, 1996.
, Digital watermarking and steganography, 2007.
Terrorist instructions hidden online, Usa Today, vol.19, 2001. ,
Bin laden exploits technology to suit his needs, 2001. ,
The prisoners' problem and the subliminal channel, Advances in Cryptology, pp.51-67, 1984. ,
, Steganography in digital media : principles, algorithms, and applications, 2009.
Developing fast machine learning techniques with applications to steganalysis problems, 2010. ,
URL : https://hal.archives-ouvertes.fr/tel-00737353
An information-theoretic model for steganography, Information Hiding, pp.306-318, 1998. ,
Insertion adaptative en stéganographie : application aux images numériques dans le domaine spatial, 2013. ,
Détection statistique d'informations cachées dans une image naturelle à partir d'un modèle physique, 2012. ,
An implementation of key-based digital signal steganography," in Information hiding, pp.13-26, 2001. ,
Using high-dimensional image models to perform highly undetectable steganography," in Information hiding, pp.161-177, 2010. ,
Boss (break our steganography system), 2010. ,
Steganalysis by subtractive pixel adjacency matrix, IEEE Transactions on, vol.5, issue.2, pp.215-224, 2010. ,
Defending against statistical steganalysis, Usenix security symposium, vol.10, pp.323-336, 2001. ,
F5-a steganographic algorithm, Information hiding, pp.289-302, 2001. ,
Jpeg-jsteg. modification of the independent jpeg group's jpeg software release 4 for 1-bit steganography in jfif output files, 1997. ,
Statistically undetectable jpeg steganography : dead ends challenges, and opportunities, Proceedings of the 9th workshop on Multimedia & security, pp.3-14, 2007. ,
Writing on wet paper, IEEE Transactions on, vol.53, issue.10, pp.3923-3935, 2005. ,
Universal distortion function for steganography in an arbitrary domain, EURASIP Journal on Information Security, vol.2014, issue.1, pp.1-13, 2014. ,
Practical steganalysis : State of the art, SPIE photonics West, Electronic Imaging, 2002. ,
Novelty detection in blind steganalysis, Proceedings of the 10th ACM workshop on Multimedia and security, pp.167-176, 2008. ,
,
Steganalysis of contentadaptive steganography in spatial domain, Information Hiding, pp.102-117, 2011. ,
Rich models for steganalysis of digital images, IEEE Transactions on, vol.7, issue.3, pp.868-882, 2012. ,
Forensic steganalysis : determining the stego key in spatial domain steganography, Electronic Imaging 2005. International Society for Optics and Photonics, pp.631-642, 2005. ,
Attacks on steganographic systems, Information Hiding, pp.61-76, 1999. ,
Detecting steganographic content on the internet, Center for Information Technology Integration, 2001. ,
Detecting lsb steganography in color and gray-scale images, IEEE MultiMedia, issue.4, pp.22-28, 2001. ,
Steganalysis of jpeg images : Breaking the f5 algorithm, Information Hiding, pp.310-323, 2002. ,
, Attacking the outguess, Proceedings of the ACM Workshop on Multimedia and Security, 2002.
Merging markov and dct features for multi-class jpeg steganalysis, Electronic Imaging 2007. International Society for Optics and Photonics, pp.650-503, 2007. ,
Image steganalysis with binary similarity measures, IEEE International Conference on Image Processing, pp.1057-7149, 2002. ,
Detecting hidden messages using higher-order statistics and support vector machines, Information Hiding, pp.340-354, 2002. ,
, Steganalysis using higher-order image statistics, IEEE transactions on Information Forensics and Security, vol.1, issue.1, pp.111-119, 2006.
Noise features for image tampering detection and steganalysis, Image Processing, 2007. ICIP 2007. IEEE International Conference on, vol.6, p.97, 2007. ,
Image steganalysis based on moments of characteristic functions using wavelet decomposition, prediction-error image, and neural network," in Multimedia and Expo, p.4, 2005. ,
Calibration revisited, Proceedings of the 11th ACM workshop on Multimedia and security, pp.63-74, 2009. ,
Steganalysis of digital images using rich image representations and ensemble classifiers, 2012. ,
Ensemble classifiers for steganalysis of digital media, IEEE Transactions on, vol.7, issue.2, pp.432-444, 2012. ,
Random subspace ensembles for fmri classification, IEEE transactions on medical imaging, vol.29, issue.2, pp.531-542, 2010. ,
A hybrid random subspace classifier fusion approach for protein mass spectra classification, European Conference on Evolutionary Computation, Machine Learning and Data Mining, pp.1-11, 2008. ,
Bagging predictors, Machine learning, vol.24, issue.2, pp.123-140, 1996. ,
Deep learning for steganalysis is better than a rich model with an ensemble classifier, and is natively robust to the cover source-mismatch, 2015. ,
Steganalysis of jpeg images using rich models, IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, pp.83-113, 2012. ,
Random projections of residuals for digital image steganalysis, IEEE Transactions on, vol.8, issue.12, 1996. ,
Blind image quality assessment based on theory of belief functions, 2017. ,
, Blind image steganalysis based on evidential K-nearest neighbors, International Conference on Image Processing (ICIP) IEEE, 2016.
, Fusion of imprecise data applied to image quality assessment, International Conference on Image Processing (ICIP, 2014.