Skip header Section
Skip Bibliometrics Section
MiniMax Methods for Image ReconstructionApril 1993
- Authors:
- A. P. Korostelev,
- A. Tsybakov
Abstract
No abstract available.
Cited By
- Bertsimas D, Shtern S and Sturt B (2023). A Data-Driven Approach to Multistage Stochastic Linear Optimization, Management Science, 69:1, (51-74), Online publication date: 1-Jan-2023.
- Giordano M, Ray K and Schmidt-Hieber J On the inability of Gaussian process regression to optimally learn compositional functions Proceedings of the 36th International Conference on Neural Information Processing Systems, (22341-22353)
- Chzhen E, Denis C, Hebiri M, Oneto L and Pontil M Fair regression via plug-in estimator and recalibration Proceedings of the 34th International Conference on Neural Information Processing Systems, (19137-19148)
- Ofir N, Galun M, Alpert S, Brandt A, Nadler B and Basri R (2020). On Detection of Faint Edges in Noisy Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 42:4, (894-908), Online publication date: 1-Apr-2020.
- Wang Y, Balakrishnan S and Singh A Optimization of smooth functions with noisy observations Proceedings of the 32nd International Conference on Neural Information Processing Systems, (4343-4354)
- Abazari R and Lakestani M (2018). A hybrid denoising algorithm based on shearlet transform method and Yaroslavsky's filter, Multimedia Tools and Applications, 77:14, (17829-17851), Online publication date: 1-Jul-2018.
- Geffray S, Klutchnikoff N and Vimond M (2016). Illumination problems in digital images. A statistical point of view, Journal of Multivariate Analysis, 150:C, (191-213), Online publication date: 1-Sep-2016.
- Yuan M (2010). High Dimensional Inverse Covariance Matrix Estimation via Linear Programming, The Journal of Machine Learning Research, 11, (2261-2286), Online publication date: 1-Mar-2010.
- Masry E and Ishwar P (2009). Field estimation from randomly located binary noisy sensors, IEEE Transactions on Information Theory, 55:11, (5197-5210), Online publication date: 1-Nov-2009.
- Escoda Ò, Monaci G, Ventura R, Vandergheynst P and Bierlaire M (2019). Geometric video approximation using weighted matching pursuit, IEEE Transactions on Image Processing, 18:8, (1703-1716), Online publication date: 1-Aug-2009.
- Bigot J, Gadat S and Loubes J (2009). Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping, Journal of Mathematical Imaging and Vision, 34:3, (270-290), Online publication date: 1-Jul-2009.
- Wang Y and Ishwar P (2009). Distributed field estimation with randomly deployed, noisy, binary sensors, IEEE Transactions on Signal Processing, 57:3, (1177-1189), Online publication date: 1-Mar-2009.
- Singh A, Nowak R and Zhu X Unlabeled data Proceedings of the 22nd International Conference on Neural Information Processing Systems, (1513-1520)
- Cheng M and Hall P (2006). Methods for tracking support boundaries with corners, Journal of Multivariate Analysis, 97:8, (1870-1893), Online publication date: 1-Sep-2006.
- Castro R, Willett R and Nowak R Faster rates in regression via active learning Proceedings of the 19th International Conference on Neural Information Processing Systems, (179-186)
- Bajwa W, Sayeed A and Nowak R Matched source-channel communication for field estimation in wireless sensor networks Proceedings of the 4th international symposium on Information processing in sensor networks, (44-es)
- Willett R, Martin A and Nowak R Backcasting Proceedings of the 3rd international symposium on Information processing in sensor networks, (124-133)
- Nowak R and Mitra U Boundary estimation in sensor networks Proceedings of the 2nd international conference on Information processing in sensor networks, (80-95)
- Schölkopf B, Platt J, Shawe-Taylor J, Smola A and Williamson R (2001). Estimating the Support of a High-Dimensional Distribution, Neural Computation, 13:7, (1443-1471), Online publication date: 1-Jul-2001.
- Swarnakar V, Acharya R, Le Blanc A, Evans H, Lin C, Hausman E and Schakelford L Fractal Analysis of Bone Images Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Please enable JavaScript to view thecomments powered by Disqus.
Recommendations
An Image Reconstruction Algorithm Based on the Regularized Minimax Estimation for Electrical Capacitance Tomography
Electrical capacitance tomography (ECT) is considered as a promising process tomography (PT) technology. Image reconstruction algorithms play an important role in the successful applications of ECT. In this paper, a generalized objective functional, ...
All-in-focus and multi-focus color image reconstruction from a database of color and depth image pairs
Owing to recent advances in depth sensors and computer vision algorithms, depth images are often available with co-registered color images. In this paper, we propose a simple but effective method for obtaining an all-in-focus (AIF) color image from a ...