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Items 101–200 of 1,011
BACON: blocked adaptive computationally efficient outlier nominators
Billor, N., Hadi, A. S., & Velleman, P. F. (2000) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(99)00101-2 · Cited by 548
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
Zhang, D., & Chen, S. (2004) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2004.01.012 · Cited by 546
A Bayesian approach to image expansion for improved definition
Schultz, R. R., & Stevenson, R. L. (1994) · IEEE Transactions on Image Processing · doi:10.1109/83.287017 · Cited by 537
Parametric estimate of intensity inhomogeneities applied to MRI
Styner, M. A., Brechbühler, C., Szckely, G., & Gerig, G. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.845174 · Cited by 523
Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems
Snelick, R., Uludağ, U., Mink, A., Indovina, M. D., & Jain, A. K. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.57 · Cited by 514
Highly Undersampled Magnetic Resonance Image Reconstruction via Homotopic $\ell_{0}$-Minimization
Trzasko, J. D., & Manduca, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.927346 · Cited by 478
Outliers in process modeling and identification
Pearson, R. K. (2002) · IEEE Transactions on Control Systems Technology · doi:10.1109/87.974338 · Cited by 502
Aligning Key Concepts for Global Change Policy: Robustness, Resilience, and Sustainability
Anderies, J. M., Folke, C., Walker, B., & Elinor Ostrom, B. (2013) · Ecology and Society · doi:10.5751/es-05178-180208 · Cited by 543
Automated segmentation of multiple sclerosis lesions by model outlier detection
Leemput, K. V., Maes, F., Vandermeulen, D., Colchester, A. C. F., & Suetens, P. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.938237 · Cited by 487
The LOFAR Two-metre Sky Survey
Shimwell, T. W., Hardcastle, M. J., Tasse, C., Best, P. N., Röttgering, H. J. A., Williams, W. L., Botteon, A., Drabent, A., Mechev, A. P., Shulevski, A., et al. (2022) · Astronomy and Astrophysics · doi:10.1051/0004-6361/202142484 · Cited by 498
A robust competitive clustering algorithm with applications in computer vision
Frigui, H., & Krishnapuram, R. J. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.765656 · Cited by 488
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
Paris, S., & Durand, F. (2006) · Lecture notes in computer science · doi:10.1007/11744085_44 · Cited by 487
Simpson, F., & Bahr, K. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614095 · Cited by 483
Order statistics in digital image processing
Pitas, I., & Venetsanopoulos, A. N. (1992) · Proceedings of the IEEE · doi:10.1109/5.192071 · Cited by 476
Complex Elliptically Symmetric Distributions: Survey, New Results and Applications
Ollila, E., Tyler, D. E., Koivunen, V., et al. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2212433 · Cited by 466
Robust PCA via Outlier Pursuit
Xu, H., Caramanis, C., & Sanghavi, S. (2012) · IEEE Transactions on Information Theory · doi:10.1109/tit.2011.2173156 · Cited by 445
Probabilistic individual load forecasting using pinball loss guided LSTM
Wang, Y., Gan, D., Sun, M., et al. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.10.078 · Cited by 451
Real-time markerless tracking for augmented reality: the virtual visual servoing framework
Comport, A. I., Marchand, É., Pressigout, M., & Chaumette, F. (2006) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2006.78 · Cited by 456
The MOPED framework: Object recognition and pose estimation for manipulation
Collet, A., Martinez, M., & Srinivasa, S. S. (2011) · The International Journal of Robotics Research · doi:10.1177/0278364911401765 · Cited by 416
On-line outlier detection and data cleaning
Liu, H., Shah, S. L., & Jiang, W. (2004) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2004.01.009 · Cited by 491
Registering multiview range data to create 3D computer objects
Blais, G., & Levine, M. D. (1995) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.400574 · Cited by 428
A Correlation-Based Approach to Robust Point Set Registration
Tsin, Y., & Takeo Kanade, A. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24672-5_44 · Cited by 424
A secure, robust watermark for multimedia
Cox, I. J., Kilian, J., Leighton, T., & Shamoon, T. G. (1996) · Lecture notes in computer science · doi:10.1007/3-540-61996-8_41 · Cited by 424
Statistical challenges of high-dimensional data
Johnstone, I. M., & Titterington, D. M. (2009) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2009.0159 · Cited by 420
Quantized incremental algorithms for distributed optimization
Rabbat, M., & Nowak, R. D. (2005) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2005.843546 · Cited by 419
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
Papenberg, N., Bruhn, A., Brox, T., Didas, S., & Weickert, J. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-3960-y · Cited by 409
Generalized median filtering and related nonlinear filtering techniques
Lee, Y., & Kassam, S. A. (1985) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1985.1164591 · Cited by 418
Iterative reconstruction techniques in emission computed tomography
Qi, J., & Leahy, R. M. (2006) · Physics in Medicine and Biology · doi:10.1088/0031-9155/51/15/r01 · Cited by 415
Robustness and sensitivity analysis of risk measurement procedures
Cont, R., Deguest, R., & Scandolo, G. (2010) · Quantitative Finance · doi:10.1080/14697681003685597 · Cited by 416
Cannon, A. J. (2010) · Computers & Geosciences · doi:10.1016/j.cageo.2010.07.005 · Cited by 420
Fessler, J. A. (1996) · IEEE Transactions on Image Processing · doi:10.1109/83.491322 · Cited by 403
Verardi, V., & Croux, C. (2009) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900306 · Cited by 402
Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities
Sutton, B. P., Noll, D. C., & Fessler, J. A. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.808360 · Cited by 400
Robust principal component analysis for computer vision
de la Torre, F. N., & Black, M. J. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937541 · Cited by 387
Xu, H., & Mannor, S. (2011) · Machine Learning · doi:10.1007/s10994-011-5268-1 · Cited by 403
A robust method for speech signal time-delay estimation in reverberant rooms
Brandstein, M. S., & Silverman, H. F. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1997.599651 · Cited by 383
Electromagnetic optimization exploiting aggressive space mapping
Bandler, J. W., Biernacki, R. M., Chen, S. H., et al. (1995) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/22.475649 · Cited by 388
Robust Statistics: The Approach Based on Influence Functions
Ruppert, D. (1987) · Technometrics · doi:10.2307/1269782 · Cited by 3,880
Robust Kalman Filter Based on a Generalized Maximum-Likelihood-Type Estimator
Gandhi, M. A., & Mili, L. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2039731 · Cited by 376
Resilient aggregation in sensor networks
Wagner, D. A. (2004) · doi:10.1145/1029102.1029116 · Cited by 382
Robust Principal Component Analysis Based on Maximum Correntropy Criterion
He, R., Hu, B.-G., Zheng, W., & Kong, X. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2103949 · Cited by 361
Spike Detection Using the Continuous Wavelet Transform
Nenadić, Z., & Burdick, J. W. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.839800 · Cited by 377
Deblurring and Denoising of Images by Nonlocal Functionals
Kindermann, S., Osher, S., & Jones, P. W. (2005) · Multiscale Modeling and Simulation · doi:10.1137/050622249 · Cited by 372
Robust principal component analysis for functional data
Locantore, N., Marron, J. S., Simpson, D. G., Tripoli, N., Zhang, J. T., Cohen, K. L., Boente, G., Fraiman, R., Brumback, B., Croux, C., et al. (1999) · Test · doi:10.1007/bf02595862 · Cited by 367
A Note on Computing Robust Regression Estimates Via Iteratively Reweighted Least Squares
Street, J. O., Carroll, R. J., & Ruppert, D. (1988) · The American Statistician · doi:10.1080/00031305.1988.10475548 · Cited by 380
High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale
Yohai, V. J., & Zamar, R. H. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478611 · Cited by 369
Model selection tests for nonlinear dynamic models
Rivers, D., & Vuong, Q. (2002) · Econometrics Journal · doi:10.1111/1368-423x.t01-1-00071 · Cited by 366
Linear and nonlinear methods for brain-computer interfaces
Müller, K. R., Anderson, C. W., & Birch, G. E. (2003) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2003.814484 · Cited by 361
A robust algorithm for point set registration using mixture of Gaussians
Jian, B., & Vemuri, B. C. (2005) · doi:10.1109/iccv.2005.17 · Cited by 361
Dense estimation of fluid flows
Corpetti, T., Mémin, É., & Pérez, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.990137 · Cited by 356
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Vaswani, N., Bouwmans, T., Javed, S., & Narayanamurthy, P. K. (2018) · IEEE Signal Processing Magazine · doi:10.1109/msp.2018.2826566 · Cited by 357
Epstein, L. G., & Schneider, M. (2010) · Annual Review of Financial Economics · doi:10.1146/annurev-financial-120209-133940 · Cited by 356
Predicting personality from patterns of behavior collected with smartphones
Stachl, C., Au, Q., Schoedel, R., Gosling, S. D., Harari, G. M., Buschek, D., Völkel, S. T., Schuwerk, T., Oldemeier, M., Ullmann, T., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1920484117 · Cited by 401
Sensor models and multisensor integration
Durrant-Whyte, H. F. (1988) · The International Journal of Robotics Research · doi:10.1177/027836498800700608 · Cited by 352
Constructing Uncertainty Sets for Robust Linear Optimization
Bertsimas, D., & Brown, D. B. (2009) · Operations Research · doi:10.1287/opre.1080.0646 · Cited by 354
Marital Transitions and Mental Health
Wade, T. J., & Pevalin, D. J. (2004) · Journal of Health and Social Behavior · doi:10.1177/002214650404500203 · Cited by 353
Monotonic algorithms for transmission tomography
Erdogan, H., & Fessler, J. A. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.802758 · Cited by 351
On the robust estimation of power spectra, coherences, and transfer functions
Chave, A. D., Thomson, D. J., & Ander, M. E. (1987) · Journal of Geophysical Research Atmospheres · doi:10.1029/jb092ib01p00633 · Cited by 349
Efficient Bounded-Influence Regression Estimation
Krasker, W. S., & Welsch, R. E. (1982) · Journal of the American Statistical Association · doi:10.1080/01621459.1982.10477855 · Cited by 352
Stiell, I. G., Brown, S. P., Nichol, G., Cheskes, S., Vaillancourt, C., Callaway, C. W., Morrison, L. J., Christenson, J., Aufderheide, T. P., Davis, D. P., et al. (2014) · Circulation · doi:10.1161/circulationaha.114.008671 · Cited by 354
Robust multiuser detection in non-Gaussian channels
Wang, X., & Poor, H. V. (1999) · IEEE Transactions on Signal Processing · doi:10.1109/78.740103 · Cited by 340
Three-dimensional force microscopy of cells in biopolymer networks
Steinwachs, J., Metzner, C., Skodzek, K., Lang, N. R., Thievessen, I., Mark, C., Münster, S., Aifantis, K. E., & Fabry, B. (2015) · Nature Methods · doi:10.1038/nmeth.3685 · Cited by 323
Evaluating asset-market effects of unconventional monetary policy: a multi-country review
Rogers, J. H., Scotti, C., & Wright, J. H. (2014) · Economic Policy · doi:10.1111/1468-0327.12042 · Cited by 338
Identification of Outliers in Multivariate Data
Rocke, D. M., & Woodruff, D. L. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476975 · Cited by 336
Weich, S., Blanchard, M. R., Prince, M. J., Burton, E. J., Erens, B., & Sproston, K. (2002) · The British Journal of Psychiatry · doi:10.1192/bjp.180.5.428 · Cited by 334
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges
Khalajmehrabadi, A., Gatsis, N., & Akopian, D. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2671454 · Cited by 339
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Goldblum, M., Tsipras, D., Xie, C., Chen, X., Schwarzschild, A., Song, D., Madry, A., Li, B., & Goldstein, T. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3162397 · Cited by 362
Stable real-time 3D tracking using online and offline information
Vacchetti, L., Lepetit, V., & Fua, P. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.92 · Cited by 330
Normal/Independent Distributions and Their Applications in Robust Regression
Lange, K. L., & Sinsheimer, J. S. (1993) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1993.10474606 · Cited by 345
Röth, V. (2004) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.809398 · Cited by 329
Efficient Computing of Regression Diagnostics
Velleman, P. F., & Welsch, R. E. (1981) · The American Statistician · doi:10.1080/00031305.1981.10479362 · Cited by 369
Mitaim, S., & Kosko, B. (1998) · Proceedings of the IEEE · doi:10.1109/5.726785 · Cited by 310
Geometric motion segmentation and model selection
Torr, P. H. S. (1998) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.1998.0224 · Cited by 305
Nonline-of-sight error mitigation in mobile location
Li, C., & Zhuang, W. (2005) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2004.843040 · Cited by 311
Quantile Curves without Crossing
He, X. (1997) · The American Statistician · doi:10.1080/00031305.1997.10473959 · Cited by 307
Projection-based depth functions and associated medians
Zuo, Y. (2003) · The Annals of Statistics · doi:10.1214/aos/1065705115 · Cited by 304
A robust backpropagation learning algorithm for function approximation
Chen, D. S., & Jain, R. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.286917 · Cited by 300
VanDecar, J. C., James, D. E., & de Assumpção, M. S. (1995) · Nature · doi:10.1038/378025a0 · Cited by 301
Segmenting foreground objects from a dynamic textured background via a robust Kalman filter
Zhong, J., & Sclaroff (2003) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238312 · Cited by 300
Experimental Design: Review and Comment
Steinberg, D. M., & Hunter, W. G. (1984) · Technometrics · doi:10.1080/00401706.1984.10487928 · Cited by 300
Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines
Szeliski, R., & Lavallé, S. (1996) · International Journal of Computer Vision · doi:10.1007/bf00055001 · Cited by 300
Challenging the empirical mean and empirical variance: A deviation study
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Dense estimation and object-based segmentation of the optical flow with robust techniques
Mémin, É., & Pérez, P. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.668027 · Cited by 291
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Predicting Longitudinal Dispersion Coefficient in Natural Streams
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Outlier detection for skewed data
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Robust state estimation based on projection statistics [of power systems]
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Nonparametric multivariate density estimation: a comparative study
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Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences
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Guided Locality Preserving Feature Matching for Remote Sensing Image Registration
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Partially Adaptive Estimation of Regression Models via the Generalized T Distribution
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Robust Shrinkage Estimation of High-Dimensional Covariance Matrices
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High emissions of greenhouse gases from grasslands on peat and other organic soils
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Metadata
- Authors
- Huber, P. J.
- Corresponding author
- Huber, Peter J.
- Venue
- Wiley Series in Probability and Statistics
- Publisher
- Wiley
- Published
- 1981-02-19
- ISSN
- 1940-6347 (ISSN-L)
- OpenAlex
- W2489822048
- Cited by
- 7,066
- References
- 0
- Citations by year
- 2026: 174 · 2025: 176 · 2024: 120 · 2023: 126 · 2022: 186 · 2021: 192 · 2020: 193 · 2019: 218 · 2018: 232 · 2017: 205 · 2016: 195 · 2015: 204 · 2014: 279 · 2013: 247 · 2012: 247
- FWCI
- 21.12
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley series in probability and statistics (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- robust statistics, outliers, influence function, robust estimation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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