Rebecca Willett

CoRR, 2023

Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees.

[BibT_eX]

[DOI]

Yue Gao

CoRR, 2023

Deep Stochastic Mechanics.

[BibT_eX]

[DOI]

CoRR, 2023

Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models.

[BibT_eX]

[DOI]

Suzanna Parkinson

CoRR, 2023

Bagging Provides Assumption-free Stability.

[BibT_eX]

[DOI]

Jake A. Soloff

Rina Foygel Barber

CoRR, 2023

Reduced-Order Autodifferentiable Ensemble Kalman Filters.

[BibT_eX]

[DOI]

Yuming Chen

Daniel Sanz-Alonso

CoRR, 2023

Training neural operators to preserve invariant measures of chaotic attractors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Autodifferentiable Ensemble Kalman Filters.

[BibT_eX]

[DOI]

Yuming Chen

Daniel Sanz-Alonso

SIAM J. Math. Data Sci., June, 2022

Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Functional Linear Regression with Mixed Predictors.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

Cloud Classification with Unsupervised Deep Learning.

[BibT_eX]

[DOI]

Ricardo Barros Lourenço

Casper Neo

Elisabeth Moyer

CoRR, 2022

The Role of Linear Layers in Nonlinear Interpolating Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Assessing kernel processing score of harvested corn silage in real-time using image analysis and machine learning.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2022

Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification.

[BibT_eX]

[DOI]

Ruoxi Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction.

[BibT_eX]

[DOI]

Proceedings of Machine Learning and Systems 2022, 2022

Lazy Estimation of Variable Importance for Large Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Deep Equilibrium Architectures for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

Gregory Ongie

IEEE Trans. Computational Imaging, 2021

Model Adaptation for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

Gregory Ongie

IEEE Trans. Computational Imaging, 2021

Tensor Methods for Nonlinear Matrix Completion.

[BibT_eX]

[DOI]

Daniel L. Pimentel-Alarcón

Laura Balzano

SIAM J. Math. Data Sci., 2021

Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Statistically and Computationally Efficient Change Point Localization in Regression Settings.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Adaptive Differentially Private Empirical Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2021

Auto-differentiable Ensemble Kalman Filters.

[BibT_eX]

[DOI]

Yuming Chen

Daniel Sanz-Alonso

CoRR, 2021

Prediction in the Presence of Response-Dependent Missing Labels.

[BibT_eX]

[DOI]

Hyebin Song

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Pure Exploration in Kernel and Neural Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model Adaptation In Biomedical Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on eScience, 2021

Localizing Changes in High-Dimensional Regression Models.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Neumann Networks for Linear Inverse Problems in Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2020

Deep Learning Techniques for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

Gregory Ongie

Ajil Jalal

Christopher A. Metzler

Richard G. Baraniuk

Alexandros G. Dimakis

IEEE J. Sel. Areas Inf. Theory, 2020

Guest Editorial.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Detection and Description of Change in Visual Streams.

[BibT_eX]

[DOI]

CoRR, 2020

Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions.

[BibT_eX]

[DOI]

CoRR, 2020

An Optimal Statistical and Computational Framework for Generalized Tensor Estimation.

[BibT_eX]

[DOI]

Rungang Han

Anru Zhang

CoRR, 2020

A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Network Estimation From Point Process Data.

[BibT_eX]

[DOI]

Benjamin Mark

IEEE Trans. Inf. Theory, 2019

A Data-Dependent Weighted LASSO Under Poisson Noise.

[BibT_eX]

[DOI]

Patricia Reynaud-Bouret

Vincent Rivoirard

Laure Sansonnet

IEEE Trans. Inf. Theory, 2019

Learning High-Dimensional Generalized Linear Autoregressive Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Online Data Thinning via Multi-Subspace Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Neumann Networks for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting kernel processing score of harvested and processed corn silage via image processing techniques.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2019

Bilinear Bandits with Low-rank Structure.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning to Regularize Using Neumann Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Data Science Workshop, 2019

Learned Patch-Based Regularization for Inverse Problems in Imaging.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Estimating Network Structure from Incomplete Event Data.

[BibT_eX]

[DOI]

Benjamin Mark

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Graph-based regularization for regression problems with highly-correlated designs.

[BibT_eX]

[DOI]

Yuan Li

CoRR, 2018

Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes.

[BibT_eX]

[DOI]

CoRR, 2018

Graph-Based Regularization for Regression Problems with Highly-Correlated Designs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Sparse Subspace Clustering with Missing and Corrupted Data.

[BibT_eX]

[DOI]

Zachary Charles

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Sparse Transition Matrix Estimation for Sub-Gaussian Autoregressive Processes with Missing Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Online Learning for Changing Environments using Coin Betting.

[BibT_eX]

[DOI]

CoRR, 2017

Scalable Generalized Linear Bandits: Online Computation and Hashing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Subspace Clustering via Tangent Cones.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health Care Conference, 2017

Algebraic Variety Models for High-Rank Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Signal representations in modern signal processing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Network estimation via poisson autoregressive models.

[BibT_eX]

[DOI]

Benjamin Mark

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Proximal-Gradient methods for poisson image reconstruction with BM3D-Based regularization.

[BibT_eX]

[DOI]

Willem J. Marais

Daniel L. Pimentel-Alarcón

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Low algebraic dimension matrix completion.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Improved Strongly Adaptive Online Learning using Coin Betting.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

On Learning High Dimensional Structured Single Index Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Tracking Dynamic Point Processes on Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Inference of High-dimensional Autoregressive Generalized Linear Models.

[BibT_eX]

[DOI]

Daniel L. Pimentel-Alarcón

CoRR, 2016

Group-sparse subspace clustering with missing data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Genomic transcription regulatory element location analysis via poisson weighted lasso.

[BibT_eX]

[DOI]

Patricia Reynaud-Bouret

Vincent Rivoirard

Laure Sansonnet

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Inferring high-dimensional poisson autoregressive models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Atmospheric lidar imaging and poisson inverse problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Regret minimization algorithms for single-controller zero-sum stochastic games.

[BibT_eX]

[DOI]

Daphney-Stavroula Zois

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Minimax Optimal Rates for Poisson Inverse Problems With Physical Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Online Convex Optimization in Dynamic Environments.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

Sparse Linear Regression With Missing Data.

[BibT_eX]

[DOI]

Ravi Ganti

Ravi Sastry Ganti Mahapatruni

CoRR, 2015

Learning Single Index Models in High Dimensions.

[BibT_eX]

[DOI]

CoRR, 2015

Matrix Completion Under Monotonic Single Index Models.

[BibT_eX]

[DOI]

Laura Balzano

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online learning of neural network structure from spike trains.

[BibT_eX]

[DOI]

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2014

Online Markov Decision Processes With Kullback-Leibler Control Cost.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2014

Reducing Basis Mismatch in Harmonic Signal Recovery via Alternating Convex Search.

[BibT_eX]

[DOI]

Jonathan M. Nichols

Albert K. Oh

IEEE Signal Process. Lett., 2014

Poisson Noise Reduction with Non-local PCA.

[BibT_eX]

[DOI]

Charles-Alban Deledalle

J. Math. Imaging Vis., 2014

To e or not to e in poisson image reconstruction.

[BibT_eX]

[DOI]

Albert K. Oh

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

From minimax value to low-regret algorithms for online Markov decision processes.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2014

2013

Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation.

[BibT_eX]

[DOI]

Waheed U. Bajwa

SIAM J. Imaging Sci., 2013

Change-Point Detection for High-Dimensional Time Series With Missing Data.

[BibT_eX]

[DOI]

Jiaji Huang

IEEE J. Sel. Top. Signal Process., 2013

Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2013

Online Optimization in Dynamic Environments.

[BibT_eX]

[DOI]

CoRR, 2013

Relax but stay in control: from value to algorithms for online Markov decision processes.

[BibT_eX]

[DOI]

CoRR, 2013

Dynamical Models and tracking regret in online convex programming.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Logarithmic total variation regularization for cross-validation in photon-limited imaging.

[BibT_eX]

[DOI]

Albert K. Oh

Proceedings of the IEEE International Conference on Image Processing, 2013

Foreground and background reconstruction in poisson video.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Online logistic regression on manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Dual-scale masks for spatio-temporal compressive imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Online optimization in parametric dynamic environments.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Sequential Anomaly Detection in the Presence of Noise and Limited Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods.

[BibT_eX]

[DOI]

Ery Arias-Castro

SIAM J. Imaging Sci., 2012

Target detection performance bounds in compressive imaging.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2012

Changepoint detection for high-dimensional time series with missing data

[BibT_eX]

[DOI]

Jiaji Huang

CoRR, 2012

Multiscale online tracking of manifolds.

[BibT_eX]

[DOI]

Jiaji Huang

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

A two-stage denoising filter: The preprocessed Yaroslavsky filter.

[BibT_eX]

[DOI]

Ery Arias-Castro

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

The value of multispectral observations in photon-limited quantitative tissue analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011

Performance Bounds for Expander-Based Compressed Sensing in Poisson Noise.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods

[BibT_eX]

[DOI]

Ery Arias-Castro

CoRR, 2011

Smooth sampling trajectories for sparse recovery in MRI.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Short and smooth sampling trajectories for compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Time-evolving modeling of social networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Online anomaly detection with expert system feedback in social networks.

[BibT_eX]

[DOI]

Corinne Horn

Proceedings of the IEEE International Conference on Acoustics, 2011

Decentralized Online Convex Programming with local information.

[BibT_eX]

[DOI]

Nooshin Kiarashi

Proceedings of the American Control Conference, 2011

2010

Compressed sensing performance bounds under Poisson noise.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Multiscale Photon-Limited Spectral Image Reconstruction.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2010

Sparsity-regularized photon-limited imaging.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Poisson image reconstruction with total variation regularization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Hyperspectral target detection from incoherent projections: Nonequiprobable targets and inhomogeneous SNR.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Gradient projection for linearly constrained convex optimization in sparse signal recovery.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Hyperspectral target detection from incoherent projections.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Fishing in Poisson streams: Focusing on the whales, ignoring the minnows.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging.

[BibT_eX]

[DOI]

Proceedings of the Computational Imaging VIII, 2010

2009

Hypergraph-Based Anomaly Detection of High-Dimensional Co-Occurrences.

[BibT_eX]

[DOI]

Jorge G. Silva

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Sequential anomaly detection in the presence of noise and limited feedback

[BibT_eX]

[DOI]

CoRR, 2009

Performance Bounds for Expander-based Compressed Sensing in the presence of Poisson Noise

[BibT_eX]

[DOI]

CoRR, 2009

Minimax risk for Poisson compressed sensing

[BibT_eX]

[DOI]

CoRR, 2009

Performance bounds on compressed sensing with Poisson noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

Sequential probability assignment via online convex programming using exponential families.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

Image Reconstruction of Multiphoton Microscopy Data.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Compressive coded aperture imaging.

[BibT_eX]

[DOI]

Proceedings of the Computational Imaging VII, 2009

2008

Near-minimax recursive density estimation on the binary hypercube.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Controlling the error in FMRI: Hypothesis testing or set estimation?

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Fast disambiguation of superimposed images for increased field of view.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2008

Compressive coded aperture superresolution image reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Compressive coded aperture video reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Detection of anomalous meetings in a social network.

[BibT_eX]

[DOI]

Jorge G. Silva

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007

Multiscale Poisson Intensity and Density Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2007

Minimax Optimal Level-Set Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2007

Multiscale Intensity Estimation for Multi-Photon Microscopy.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Multiscale Intensity Estimation for Marked Poisson Processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Multiscale Reconstruction for Photon-Limited Shifted Excitation Raman Spectroscopy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Multiscale reconstruction for computational spectral imaging.

[BibT_eX]

[DOI]

Michael E. Gehm

David J. Brady

Proceedings of the Computational Imaging V, San Jose, 2007

2005

Faster Rates in Regression via Active Learning.

[BibT_eX]

[DOI]

Rui M. Castro

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Level set estimation via trees [signal processing applications].

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Estimating inhomogeneous fields using wireless sensor networks.

[BibT_eX]

[DOI]

Urbashi Mitra

IEEE J. Sel. Areas Commun., 2004

Complexity-regularized multiresolution density estimation.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Adaptive sampling for wireless sensor networks.

[BibT_eX]

[DOI]

Aline Martin

Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Fast Multiresolution Photon-Limited Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Backcasting: adaptive sampling for sensor networks.

[BibT_eX]

[DOI]

Aline Martin

Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

Coarse-to-fine manifold learning [image processing example].

[BibT_eX]

[DOI]

Rui M. Castro

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Fast, near-optimal, multiresolution estimation of poisson signals and images.

[BibT_eX]

[DOI]

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon LimitedMedical Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2003

CORT: classification or regression trees.

[BibT_eX]

[DOI]

Clayton D. Scott

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Platelets for multiscale analysis in photon-limited imaging.

[BibT_eX]

[DOI]

Proceedings of the 2002 International Conference on Image Processing, 2002

Multiresolution nonparametric intensity and density estimation.

[BibT_eX]

[DOI]