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ORCIDIngrid Daubechies
Person information
- affiliation: Duke University, NC, USA
- affiliation: Princeton University, USA
- award (2012): BBVA Foundation Frontiers of Knowledge Award
- award (2011): Benjamin Franklin Medal
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Books and Theses
- 1992
[b1]Ingrid Daubechies:
Ten Lectures on Wavelets. SIAM 1992, ISBN 978-0-89871-274-2
Journal Articles
- 2023
- [j46]Wei Pu
, Barak Sober, Nathan Daly, Chao Zhou, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
Image Separation With Side Information: A Connected Auto-Encoders Based Approach. IEEE Trans. Image Process. 32: 2931-2946 (2023) - [j45]Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory 69(1): 482-495 (2023) - 2022
- [j44]Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks With Concealed Designs. IEEE Trans. Image Process. 31: 4458-4473 (2022) - 2020
- [j43]Nadav Dym, Barak Sober, Ingrid Daubechies:
Expression of Fractals Through Neural Network Functions. IEEE J. Sel. Areas Inf. Theory 1(1): 57-66 (2020) - 2019
- [j42]Rima Alaifari, Ingrid Daubechies, Philipp Grohs, Rujie Yin:
Stable Phase Retrieval in Infinite Dimensions. Found. Comput. Math. 19(4): 869-900 (2019) - [j41]Tingran Gao, Shahar Z. Kovalsky, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. SIAM J. Math. Data Sci. 1(1): 208-236 (2019) - [j40]Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies:
Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics. SIAM J. Math. Data Sci. 1(1): 237-267 (2019) - [j39]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - 2018
- [j38]Jieren Xu, Haizhao Yang, Ingrid Daubechies:
Recursive Diffeomorphism-Based Regression for Shape Functions. SIAM J. Math. Anal. 50(1): 5-32 (2018) - 2017
- [j37]Gábor Fodor, Bruno Cornelis, Rujie Yin, Ann Dooms, Ingrid Daubechies:
Cradle Removal in X-Ray Images of Panel Paintings. Image Process. Line 7: 23-42 (2017) - [j36]Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies:
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets. SIAM J. Imaging Sci. 10(2): 711-750 (2017) - [j35]Bruno Cornelis, Haizhao Yang, Alex Goodfriend, Noelle Ocon, Jianfeng Lu, Ingrid Daubechies:
Removal of Canvas Patterns in Digital Acquisitions of Paintings. IEEE Trans. Image Process. 26(1): 160-171 (2017) - [j34]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. 26(2): 751-764 (2017) - 2016
- [j33]Rujie Yin, Bruno Cornelis, Gábor Fodor, Noelle Ocon, David B. Dunson, Ingrid Daubechies:
Removing Cradle Artifacts in X-Ray Images of Paintings. SIAM J. Imaging Sci. 9(3): 1247-1272 (2016) - 2015
- [j32]Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies:
A Bayesian Nonparametric Approach to Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 346-358 (2015) - [j31]Ingrid Daubechies, Rayan Saab:
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. IEEE Signal Process. Lett. 22(11): 2093-2096 (2015) - [j30]Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying:
Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation. IEEE Signal Process. Mag. 32(4): 55-63 (2015) - [j29]Aleksandra Pizurica, Ljiljana Platisa, Tijana Ruzic, Bruno Cornelis, Ann Dooms, Maximiliaan Martens, Hélène Dubois, Bart Devolder, Marc De Mey, Ingrid Daubechies:
Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment. IEEE Signal Process. Mag. 32(4): 112-122 (2015) - 2014
- [j28]Hau-Tieng Wu, Shu-Shua Hseu, Mauo-Ying Bien, Yu Ru Kou, Ingrid Daubechies:
Evaluating Physiological Dynamics via Synchrosqueezing: Prediction of Ventilator Weaning. IEEE Trans. Biomed. Eng. 61(3): 736-744 (2014) - 2013
- [j27]Yaron Lipman, Jesús Puente, Ingrid Daubechies:
Conformal Wasserstein distance: II. computational aspects and extensions. Math. Comput. 82(281): 331-381 (2013) - [j26]Anila Anitha, Andrei Brasoveanu, Marco F. Duarte, Shannon M. Hughes, Ingrid Daubechies, Joris Dik, Koen Janssens, Matthias Alfeld:
Restoration of X-ray fluorescence images of hidden paintings. Signal Process. 93(3): 592-604 (2013) - [j25]Bruno Cornelis, Tijana Ruzic, E. Gezels, Ann Dooms, Aleksandra Pizurica, Ljiljana Platisa, Jan Cornelis, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies:
Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece. Signal Process. 93(3): 605-619 (2013) - 2011
- [j24]Hau-Tieng Wu, Patrick Flandrin, Ingrid Daubechies:
One or Two frequencies? The Synchrosqueezing Answers. Adv. Data Sci. Adapt. Anal. 3(1-2): 29-39 (2011) - 2010
- [j23]Ignace Loris, H. Douma, G. Nolet, Ingrid Daubechies, C. Regone:
Nonlinear regularization techniques for seismic tomography. J. Comput. Phys. 229(3): 890-905 (2010) - [j22]Ingrid Daubechies, C. Sinan Güntürk, Yang Wang, Özgür Yilmaz:
The golden ratio encoder. IEEE Trans. Inf. Theory 56(10): 5097-5110 (2010) - [j21]Yaron Lipman, Xiaobai Chen, Ingrid Daubechies, Thomas A. Funkhouser:
Symmetry factored embedding and distance. ACM Trans. Graph. 29(4): 103:1-103:12 (2010) - 2008
- [j20]C. Richard Johnson Jr., Ella Hendriks, Igor J. Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, Eric O. Postma, James Z. Wang:
Image processing for artist identification. IEEE Signal Process. Mag. 25(4): 37-48 (2008) - 2007
- [j19]Ingrid Daubechies, Olof Runborg, Jing Zou:
A Sparse Spectral Method for Homogenization Multiscale Problems. Multiscale Model. Simul. 6(3): 711-740 (2007) - [j18]Zoran Cvetkovic, Ingrid Daubechies, Benjamin F. Logan:
Single-Bit Oversampled A/D Conversion With Exponential Accuracy in the Bit Rate. IEEE Trans. Inf. Theory 53(11): 3979-3989 (2007) - 2006
- [j17]Ingrid Daubechies, Ronald A. DeVore, C. Sinan Güntürk, Vinay A. Vaishampayan:
A/D conversion with imperfect quantizers. IEEE Trans. Inf. Theory 52(3): 874-885 (2006) - [j16]Ingrid Daubechies, Özgür Yilmaz:
Robust and Practical Analog-to-Digital Conversion With Exponential Precision. IEEE Trans. Inf. Theory 52(8): 3533-3545 (2006) - 2005
- [j15]Ingrid Daubechies, Konstantinos Drakakis, Tanya Khovanova:
A Detailed Study of the Attachment Strategies of New Autonomous Systems in the AS Connectivity Graph. Internet Math. 2(2): 185-246 (2005) - 2004
- [j14]Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire:
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins. J. Mach. Learn. Res. 5: 1557-1595 (2004) - 2002
- [j13]A. Robert Calderbank, Ingrid Daubechies:
The pros and cons of democracy. IEEE Trans. Inf. Theory 48(6): 1721-1725 (2002) - [j12]Albert Cohen, Ingrid Daubechies, Onur G. Guleryuz, Michael T. Orchard:
On the importance of combining wavelet-based nonlinear approximation with coding strategies. IEEE Trans. Inf. Theory 48(7): 1895-1921 (2002) - 2000
- [j11]Radu V. Balan, Ingrid Daubechies, Vinay A. Vaishampayan:
The analysis and design of windowed Fourier frame based multiple description source coding schemes. IEEE Trans. Inf. Theory 46(7): 2491-2536 (2000) - 1998
- [j10]Ingrid Daubechies:
Recent results in wavelet applications. J. Electronic Imaging 7(4): 719-724 (1998) - [j9]David L. Donoho, Martin Vetterli, Ronald A. DeVore, Ingrid Daubechies:
Data Compression and Harmonic Analysis. IEEE Trans. Inf. Theory 44(6): 2435-2476 (1998) - 1997
- [j8]Éric Chassande-Mottin, Ingrid Daubechies, François Auger, Patrick Flandrin:
Differential reassignment. IEEE Signal Process. Lett. 4(10): 293-294 (1997) - [j7]Michael Unser, Ingrid Daubechies:
On the approximation power of convolution-based least squares versus interpolation. IEEE Trans. Signal Process. 45(7): 1697-1711 (1997) - 1996
- [j6]Ingrid Daubechies:
Where do wavelets come from? A personal point of view. Proc. IEEE 84(4): 510-513 (1996) - 1993
- [j5]Ingrid Daubechies, Augustus J. E. M. Janssen:
Two theorems on lattice expansions. IEEE Trans. Inf. Theory 39(1): 3-6 (1993) - 1992
- [j4]Marc Antonini, Michel Barlaud, Pierre Mathieu, Ingrid Daubechies:
Image coding using wavelet transform. IEEE Trans. Image Process. 1(2): 205-220 (1992) - [j3]Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky:
Introduction to the special issue on wavelet transforms and multiresolution signal analysis. IEEE Trans. Inf. Theory 38(2): 529-532 (1992) - 1990
- [j2]Ingrid Daubechies:
The wavelet transform, time-frequency localization and signal analysis. IEEE Trans. Inf. Theory 36(5): 961-1005 (1990) - 1988
- [j1]Ingrid Daubechies:
Time-frequency localization operators: A geometric phase space approach. IEEE Trans. Inf. Theory 34(4): 605-612 (1988)
Conference and Workshop Papers
- 2021
- [c25]Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. EUSIPCO 2021: 1491-1495 - 2020
- [c24]Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. ICASSP 2020: 2213-2217 - 2018
- [c23]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR 2018: 2743-2751 - 2016
- [c22]Rujie Yin, Eric E. Monson, Elizabeth Honig, Ingrid Daubechies, Mauro Maggioni:
Object recognition in art drawings: Transfer of a neural network. ICASSP 2016: 2299-2303 - [c21]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
X-ray image separation via coupled dictionary learning. ICIP 2016: 3533-3537 - 2014
- [c20]Rujie Yin, David B. Dunson, Bruno Cornelis, Bill Brown, Noelle Ocon, Ingrid Daubechies:
Digital cradle removal in X-ray images of art paintings. ICIP 2014: 4299-4303 - 2013
- [c19]Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David B. Dunson:
Bayesian crack detection in ultra high resolution multimodal images of paintings. DSP 2013: 1-8 - [c18]Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank:
Painting analysis using wavelets and probabilistic topic models. ICIP 2013: 3264-3268 - 2012
- [c17]Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies:
Open Problem: Does AdaBoost Always Cycle? COLT 2012: 46.1-46.4 - 2011
- [c16]Tijana Ruzic, Bruno Cornelis, Ljiljana Platisa, Aleksandra Pizurica, Ann Dooms, Wilfried Philips, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies:
Virtual Restoration of the Ghent Altarpiece Using Crack Detection and Inpainting. ACIVS 2011: 417-428 - [c15]Anila Anitha, Andrei Brasoveanu, Marco F. Duarte, Shannon M. Hughes, Ingrid Daubechies, Joris Dik, Koen Janssens, Matthias Alfeld:
Virtual underpainting reconstruction from X-ray fluorescence imaging data. EUSIPCO 2011: 1239-1243 - [c14]Josephine Wolff, Maximiliaan Martens, Sina Jafarpour, Ingrid Daubechies, A. Robert Calderbank:
Uncovering elements of style. ICASSP 2011: 1017-1020 - [c13]Ljiljana Platisa, Bruno Cornelis, Tijana Ruzic, Aleksandra Pizurica, Ann Dooms, Maximiliaan Martens, Marc De Mey, Ingrid Daubechies:
Spatiogram features to characterize pearls in paintings. ICIP 2011: 801-804 - [c12]Evangelos Roussos, Steven Roberts, Ingrid Daubechies:
Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging. MLINI 2011: 218-225 - 2009
- [c11]Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies:
Stylistic analysis of paintings usingwavelets and machine learning. EUSIPCO 2009: 1220-1224 - [c10]Gungor Polatkan, Sina Jafarpour, Andrei Brasoveanu, Shannon M. Hughes, Ingrid Daubechies:
Detection of forgery in paintings using supervised learning. ICIP 2009: 2921-2924 - 2008
- [c9]Ingrid Daubechies, Ronald A. DeVore, Massimo Fornasier, C. Sinan Güntürk:
Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery. CISS 2008: 26-29 - 2006
- [c8]Shannon M. Hughes, Ingrid Daubechies:
Simpler Alternatives to Information Theoretic Similarity Metrics for Multimodal Image Alignment. ICIP 2006: 365-368 - 2004
- [c7]Cynthia Rudin, Robert E. Schapire, Ingrid Daubechies:
Boosting Based on a Smooth Margin. COLT 2004: 502-517 - 2003
- [c6]Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire:
On the Dynamics of Boosting. NIPS 2003: 1101-1108 - 2002
- [c5]Zoran Cvetkovic, Benjamin F. Logan, Ingrid Daubechies:
Interpolation of Bandlimited Functions from Quantized Irregular Samples. DCC 2002: 412-421 - 2000
- [c4]Zoran Cvetkovic, Ingrid Daubechies:
Single-Bit Oversampled A/D Conversion with Exponential Accuracy in the Bit-Rate. Data Compression Conference 2000: 343-352 - 1997
- [c3]A. Robert Calderbank, Ingrid Daubechies, Wim Sweldens, Boon-Lock Yeo:
Lossless Image Compresion Using Integer to Integer Wavelet Transforms. ICIP (1) 1997: 596-599 - 1992
- [c2]Nader Moayeri, Ingrid Daubechies, Qing Song, Hong Shen Wang:
Wavelet transform image coding using trellis coded vector quantization. ICASSP 1992: 405-408 - 1990
- [c1]Marc Antonini, Michel Barlaud, Pierre Mathieu, Ingrid Daubechies:
Image coding using vector quantization in the wavelet transform domain. ICASSP 1990: 2297-2300
Editorship
- 2008
- [e1]Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke:
Structured Decompositions and Efficient Algorithms, 30.11. - 05.12.2008. Dagstuhl Seminar Proceedings 08492, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2008 [contents]
Informal and Other Publications
- 2022
- [i29]Wei Pu, Jun-Jie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues:
Mixed X-Ray Image Separation for Artworks with Concealed Designs. CoRR abs/2201.09167 (2022) - [i28]Shan Shan, Ingrid Daubechies:
Diffusion Maps : Using the Semigroup Property for Parameter Tuning. CoRR abs/2203.02867 (2022) - 2021
- [i27]Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. CoRR abs/2107.13191 (2021) - 2020
- [i26]Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies, Michael Kazhdan, Jianfeng Lu, Stefan Steinerberger:
Non-Convex Planar Harmonic Maps. CoRR abs/2001.01322 (2020) - [i25]Cheng Cheng, Ingrid Daubechies, Nadav Dym, Jianfeng Lu:
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements. CoRR abs/2006.11709 (2020) - [i24]Barak Sober, Ingrid Daubechies, Robert Ravier:
Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares. CoRR abs/2007.09885 (2020) - [i23]Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
Image Separation with Side Information: A Connected Auto-Encoders Based Approach. CoRR abs/2009.07889 (2020) - 2019
- [i22]Ingrid Daubechies, Ronald A. DeVore, Simon Foucart, Boris Hanin, Guergana Petrova:
Nonlinear Approximation and (Deep) ReLU Networks. CoRR abs/1905.02199 (2019) - [i21]Nadav Dym, Barak Sober, Ingrid Daubechies:
Expression of Fractals Through Neural Network Functions. CoRR abs/1905.11345 (2019) - [i20]Wei Zhu, Ingrid Daubechies:
Constructing curvelet-like bases and low-redundancy frames. CoRR abs/1910.06418 (2019) - 2018
- [i19]Tingran Gao, Shahar Z. Kovalsky, Doug M. Boyer, Ingrid Daubechies:
Gaussian Process Landmarking on Manifolds. CoRR abs/1802.03479 (2018) - [i18]Massimo Fornasier, Jan Vybíral, Ingrid Daubechies:
Identification of Shallow Neural Networks by Fewest Samples. CoRR abs/1804.01592 (2018) - [i17]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i16]Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang:
Non-Oscillatory Pattern Learning for Non-Stationary Signals. CoRR abs/1805.08102 (2018) - 2017
- [i15]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR abs/1711.06246 (2017) - 2016
- [i14]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
X-ray image separation via coupled dictionary learning. CoRR abs/1605.06474 (2016) - [i13]Rujie Yin, Tingran Gao, Yue Lu, Ingrid Daubechies:
Regularization on Image Patches: a linear reconstruction from manifold embedding. CoRR abs/1606.01377 (2016) - [i12]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
Multi-modal dictionary learning for image separation with application in art investigation. CoRR abs/1607.04147 (2016) - [i11]Jieren Xu, Haizhao Yang, Ingrid Daubechies:
Recursive Diffeomorphism-Based Regression for Shape Functions. CoRR abs/1610.03819 (2016) - 2015
- [i10]Ingrid Daubechies, Rayan Saab:
A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions. CoRR abs/1506.00179 (2015) - [i9]Ingrid Daubechies, Yi Wang, Hau-Tieng Wu:
ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform. CoRR abs/1507.05366 (2015) - 2014
- [i8]Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank:
Painting Analysis Using Wavelets and Probabilistic Topic Models. CoRR abs/1401.6638 (2014) - [i7]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [i6]Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David B. Dunson:
Bayesian crack detection in ultra high resolution multimodal images of paintings. CoRR abs/1304.5894 (2013) - 2012
- [i5]Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies:
A Bayesian Nonparametric Approach to Image Super-resolution. CoRR abs/1209.5019 (2012) - 2011
- [i4]Doug M. Boyer, Yaron Lipman, Elizabeth St. Clair, Jesús Puente, Thomas A. Funkhouser, Biren A. Patel, Jukka Jernvall, Ingrid Daubechies:
Algorithms to automatically quantify the geometric similarity of anatomical surfaces. CoRR abs/1110.3649 (2011) - 2008
- [i3]Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke:
08492 Abstracts Collection - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms 2008 - [i2]Stephan Dahlke, Ingrid Daubechies, Michael Elad, Gitta Kutyniok, Gerd Teschke:
08492 Executive Summary - Structured Decompositions and Efficient Algorithms. Structured Decompositions and Efficient Algorithms 2008 - [i1]Ingrid Daubechies, C. Sinan Güntürk, Yang Wang, Özgür Yilmaz:
The Golden Ratio Encoder. CoRR abs/0809.1257 (2008)
Coauthor Index
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