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Image Separation with Side Information: A Connected Auto-Encoders Based Approach


Sep 16, 2020
Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues


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Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares


Jul 20, 2020
Barak Sober, Ingrid Daubechies, Robert Ravier


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Expression of Fractals Through Neural Network Functions


May 27, 2019
Nadav Dym, Barak Sober, Ingrid Daubechies


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Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning


Sep 23, 2018
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies


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Gaussian Process Landmarking on Manifolds


Jul 28, 2018
Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies

* 25 pages, 2 figures 

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Non-Oscillatory Pattern Learning for Non-Stationary Signals


May 22, 2018
Jieren Xu, Yitong Li, David Dunson, Ingrid Daubechies, Haizhao Yang


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Identification of Shallow Neural Networks by Fewest Samples


Apr 04, 2018
Massimo Fornasier, Jan Vybíral, Ingrid Daubechies


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LDMNet: Low Dimensional Manifold Regularized Neural Networks


Nov 16, 2017
Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies


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Recursive Diffeomorphism-Based Regression for Shape Functions


Jul 29, 2017
Jieren Xu, Haizhao Yang, Ingrid Daubechies


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A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets


Sep 12, 2016
Rujie Yin, Tingran Gao, Yue M. Lu, Ingrid Daubechies


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Multi-modal dictionary learning for image separation with application in art investigation


Jul 14, 2016
Nikos Deligiannis, Joao F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies

* submitted to IEEE Transactions on Images Processing 

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X-ray image separation via coupled dictionary learning


May 20, 2016
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies

* To be presented at the IEEE International Conference on Image Processing (ICIP), 2016 

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Painting Analysis Using Wavelets and Probabilistic Topic Models


Jan 26, 2014
Tong Wu, Gungor Polatkan, David Steel, William Brown, Ingrid Daubechies, Robert Calderbank

* 5 pages, 4 figures, ICIP 2013 

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Bayesian crack detection in ultra high resolution multimodal images of paintings


Apr 23, 2013
Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David Dunson

* 8 pages, double column 

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A Bayesian Nonparametric Approach to Image Super-resolution


Sep 22, 2012
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David Blei, Ingrid Daubechies

* 30 pages, 11 figures 

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Analysis of boosting algorithms using the smooth margin function


Mar 28, 2008
Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies

* Annals of Statistics 2007, Vol. 35, No. 6, 2723-2768 
* Published in at http://dx.doi.org/10.1214/009053607000000785 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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