Ronald R. Coifman
According to our database1,
Ronald R. Coifman
authored at least 62 papers
between 1992 and 2023.
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Bibliography
2023
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity.
CoRR, 2023
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning.
Proceedings of the International Conference on Machine Learning, 2023
2021
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise.
SIAM J. Math. Data Sci., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
IEEE Trans. Signal Inf. Process. over Networks, 2018
2017
2016
Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems.
SIAM J. Appl. Dyn. Syst., 2016
Hierarchical Coupled-Geometry Analysis for Neuronal Structure and Activity Pattern Discovery.
IEEE J. Sel. Top. Signal Process., 2016
No equations, no parameters, no variables: data, and the reconstruction of normal forms by learning informed observation geometries.
CoRR, 2016
2015
IEEE Trans. Signal Process., 2015
Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure.
Neuroinformatics, 2015
Alternating diffusion for common manifold learning with application to sleep stage assessment.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Diffusion methods for aligning medical datasets: Location prediction in CT scan images.
Medical Image Anal., 2014
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Diffusion Maps for Signal Processing: A Deeper Look at Manifold-Learning Techniques Based on Kernels and Graphs.
IEEE Signal Process. Mag., 2013
Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging.
Proceedings of the Geometric Science of Information - First International Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
IEEE Trans. Signal Process., 2012
IEEE Trans. Speech Audio Process., 2012
Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
2010
IEEE Trans. Signal Process., 2010
Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Manifold Learning and Its Applications, 2010
2008
IEEE Trans. Image Process., 2008
A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform.
SIAM J. Sci. Comput., 2008
A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform.
SIAM J. Sci. Comput., 2008
Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems.
Multiscale Model. Simul., 2008
J. Mach. Learn. Res., 2008
2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Qeeg-Based Classification With Wavelet Packet and Microstate Features for Triage Applications in the ER.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2003
IEEE Trans. Image Process., 2003
2002
IEEE Trans. Image Process., 2002
Discriminant feature extraction using empirical probability density estimation and a local basis library.
Pattern Recognit., 2002
2001
IEEE Trans. Image Process., 2001
SIAM J. Numer. Anal., 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
1999
Proceedings of the 1999 International Conference on Image Processing, 1999
1998
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
Proceedings of the Data Compression Conference, 1998
1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1996
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996
1995
Aspects of Pitch-Tracking and Timbre Separation: Feature Detection in Digital Audio Using Adapted Local Trigonometric Bases and Wavelet Packages.
Proceedings of the 1995 International Computer Music Conference, 1995
Proceedings of the 1995 International Computer Music Conference, 1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Proceedings of the 1994 International Computer Music Conference, 1994
1993
SIAM J. Sci. Comput., 1993
J. Math. Imaging Vis., 1993
1992