Clustering image noise patterns by embedding and visualization for common source camera detection
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[1] Teun Baar,et al. Improving source camera identification using a simplified total variation based noise removal algorithm , 2013, Digit. Investig..
[2] J. Fridrich,et al. Digital image forensics , 2009, IEEE Signal Processing Magazine.
[3] Chang-Tsun Li. Unsupervised classification of digital images using enhanced sensor pattern noise , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[4] Julia Hirschberg,et al. V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure , 2007, EMNLP.
[5] Graham R. Wood,et al. Statistical Methods: The Geometric Approach , 1991 .
[6] Charu C. Aggarwal,et al. On the Surprising Behavior of Distance Metrics in High Dimensional Spaces , 2001, ICDT.
[7] J. Huang,et al. Curse of dimensionality and particle filters , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).
[8] Omar M. Fahmy. An efficient clustering technique for cameras identification using sensor pattern noise , 2015, 2015 International Conference on Systems, Signals and Image Processing (IWSSIP).
[9] Nasir D. Memon,et al. Sensor Fingerprint Identification Through Composite Fingerprints and Group Testing , 2015, IEEE Transactions on Information Forensics and Security.
[10] Jingzhou Liu,et al. Visualizing Large-scale and High-dimensional Data , 2016, WWW.
[11] Chang-Tsun Li. Large-Scale Image Clustering Based on Camera Fingerprints , 2017, IEEE Transactions on Information Forensics and Security.
[12] Min Wu,et al. Exploring compression effects for improved source camera identification using strongly compressed video , 2011, 2011 18th IEEE International Conference on Image Processing.
[13] Julio Gonzalo,et al. A comparison of extrinsic clustering evaluation metrics based on formal constraints , 2008, Information Retrieval.
[14] Miroslav Goljan,et al. Digital Camera Identification from Images - Estimating False Acceptance Probability , 2008, IWDW.
[15] Zeno Geradts,et al. Common source identification of images in large databases. , 2014, Forensic science international.
[16] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[17] Laurens van der Maaten,et al. Accelerating t-SNE using tree-based algorithms , 2014, J. Mach. Learn. Res..
[18] Matthias Kirchner,et al. Unexpected artefacts in PRNU-based camera identification: a 'Dresden Image Database' case-study , 2012, MM&Sec '12.
[19] M. Cugmas,et al. On comparing partitions , 2015 .
[20] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[21] Mo Chen,et al. Determining Image Origin and Integrity Using Sensor Noise , 2008, IEEE Transactions on Information Forensics and Security.
[22] Andrea Marino,et al. Blind image clustering based on the Normalized Cuts criterion for camera identification , 2014, Signal Process. Image Commun..
[23] Miroslav Goljan,et al. Digital camera identification from sensor pattern noise , 2006, IEEE Transactions on Information Forensics and Security.
[24] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[25] Eamonn J. Keogh,et al. Curse of Dimensionality , 2010, Encyclopedia of Machine Learning.
[26] F. J. Anscombe,et al. Graphs in Statistical Analysis , 1973 .
[27] Roberto Caldelli,et al. Fast image clustering of unknown source images , 2010, 2010 IEEE International Workshop on Information Forensics and Security.
[28] Greg J. Bloy. Blind Camera Fingerprinting and Image Clustering , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[30] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[31] Rainer Böhme,et al. The 'Dresden Image Database' for benchmarking digital image forensics , 2010, SAC '10.