14.3 Robust Techniques, Robust Classification

Huber, P.J.,
Robust Statistics,
John Wiley&Sons, New York, 1981. The place to start to know what it all means. BibRef 8100

Rousseeuw, P.J.,
Robust Regression and Outlier Detection,
John Wiley&Sons, New York, 1987. BibRef 8700

Rousseeuw, P.J.,
Least Median of Squares Regression,
ASAJ(79), 1984, pp. 871-880. BibRef 8400

Besl, P.J., Birch, J.B., Watson, L.T.,
Robust Window Operators,
MVA(2), 1989, pp. 179-191. BibRef 8900
Earlier: ICCV88(591-600).
IEEE Abstract. IEEE Top Reference. BibRef

Gupta, L., Sayeh, M.R., and Tammana, R.,
A Neural Network Approach to Robust Shape Classification,
PR(23), No. 6, 1990, pp. 563-568.
WWW Version. BibRef 9000

Gutfinger, D., Sklansky, J.,
Robust classifiers by mixed adaptation,
PAMI(13), No. 6, June 1991, pp. 552-567.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9106

Zhuang, X., Wang, T., and Zhang, P.,
A Highly Robust Estimator through Partially Likelihood Function Modeling and Its Application in Computer Vision,
PAMI(14), No. 1, January 1992, pp. 19-35.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9201

Zhuang, X., and Zhang, P.,
A Highly Robust Estimator for Computer Vision,
ICPR90(I: 545-550).
WWW Version. BibRef 9000

Hampshire, II, J.B., and Waibel, A.,
The Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern Recognition,
PAMI(14), No. 7, July 1992, pp. 751-769.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9207

Meer, P.[Peter], Mintz, D.[Doron], Kim, D.Y.[Dong Yoon], Rosenfeld, A.[Azriel],
Robust Regression Methods for Computer Vision: A Review,
IJCV(6), No. 1, April 1991, pp. 59-70.
WWW Version. BibRef 9104

Mintz, D., Meer, P., and Rosenfeld, A.,
Consensus by Decomposition: A Paradigm for Fast High Breakdown Point Robust Estimation,
DARPA92(345-362). More on the topic. BibRef 9200

Meer, P.[Peter],
Robust High Breakdown Estimation and Consensus,
AMV Strategies921992, pp. 23-33. See See also Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. BibRef 9200

Meer, P., Mintz, D., and Rosenfeld, A.,
Analysis of the Least median of Squares Estimator for Computer Vision Applications,
CVPR92(621-623).
IEEE Abstract. IEEE Top Reference. BibRef 9200
Earlier:
Least Median of Squares Based Robust Analysis of Image Structure,
DARPA90(231-254). Least Median. They also have papers in the Robust Vision Workshop on similar topics. See also Robust Consensus Based Edge-Detection. BibRef

Meer, P., Mintz, D., and Rosenfeld, A.,
Robust Recovery of Precursive Polynomial Image Structure,
Robust90(xx). BibRef 9000

Kim, D.Y., Kim, J.J., Meer, P., Mintz, D., Rosenfeld, A.,
Robust Computer Vision: A Least Median of Squares Based Approach,
DARPA89(1117-1134). BibRef 8900

Mintz, D., Meer, P., and Rosenfeld, A.,
A Fast, High Breakdown Point Robust Estimator for Computer Vision Applications,
DARPA90(255-257). BibRef 9000

Mintz, D.,
Robustness by Consensus,
UMD-CAR-TR-576. 1991. BibRef 9100

Urahama, K., Furukawa, Y.,
Gradient descent learning of nearest neighbor classifiers with outlier rejection,
PR(28), No. 5, May 1995, pp. 761-768.
WWW Version. 0401 BibRef

Olson, C.F.[Clark F.],
An Approximation Algorithm for Least Median of Squares Regression,
IPL(63), No. 5, September 1997, 237-241.
HTML Version.
PDF Version. BibRef 9709

Li, S.Z.,
Discontinuous MRF Prior and Robust Statistics: A Comparative-Study,
IVC(13), No. 3, April 1995, pp. 227-233.
WWW Version. BibRef 9504

Mount, D.M., Netanyahu, N.S.,
Computationally Efficient Algorithms for High-Dimensional Robust Estimators,
GMIP(56), No. 4, July 1994, pp. 289-303. BibRef 9407

Ney, H.[Hermann], Essen, U.[Ute], Kneser, R.[Reinhard],
On the Estimation of 'Small' Probabilities by Leaving-One-Out,
PAMI(17), No. 12, December 1995, pp. 1202-1212.
IEEE Abstract. IEEE Top Reference.
WWW Version. Training samples are less than the number of possible classes. BibRef 9512

Brunelli, R., Messelodi, S.,
Robust Estimation Of Correlation With Applications To Computer Vision,
PR(28), No. 6, June 1995, pp. 833-841.
WWW Version. BibRef 9506

Black, M.J., Rangarajan, A.,
On The Unification of Line Processes, Outlier Rejection, and Robust Statistics with Applications in Early Vision,
IJCV(19), No. 1, July 1996, pp. 57-91.
WWW Version. 9608
PDF Version. BibRef
Earlier:
The Outlier Process: Unifying Line Processes and Robust Statistics,
CVPR94(15-22).
IEEE Abstract. IEEE Top Reference. Applied to reconstruction of degraded images. BibRef

Zhou, P., Pycock, D.,
Robust Statistical-Models for Cell Image Interpretation,
IVC(15), No. 4, April 1997, pp. 307-316.
WWW Version. 9706 BibRef

Bosdogianni, P., Petrou, M., Kittler, J.V.,
Mixture-Models with Higher-Order Moments,
GeoRS(35), No. 2, March 1997, pp. 341-353.
IEEE Top Reference. 9704 BibRef

Bosdogianni, P., Petrou, M., Kittler, J.V.,
Mixed Pixel Classification with Robust Statistics,
GeoRS(35), No. 3, May 1997, pp. 551-559.
IEEE Top Reference. 9706 BibRef
Earlier:
Mixed Pixel Classification in Remote Sensing,
SPIE(2315), Image and Signal Processing for Remote Sensing, Rome, September 1994, pp. 494-505. BibRef

Bosdogianni, P., Kalviainen, H., Petrou, M., Kittler, J.V.,
Robust Unmixing of Large Sets of Mixed Pixels,
PRL(18), No. 5, May 1997, pp. 415-424. 9708 BibRef

Bosdogianni, P., Petrou, M., Kittler, J.V.,
Classification of Sets of Mixed Pixels with the Hypothesis-Testing Hough Transform,
VISP(145), No. 1, February 1998, pp. 57-64. 9804 See also Hough Transform Algorithm with a 2D Hypothesis-Testing Kernel, A. BibRef

Kalviainen, H., Bosdogianni, P., Petrou, M., Kittler, J.V.,
Mixed Pixel Classification with the Randomized Hough Transform,
ICPR96(II: 576-580).
WWW Version. 9608(Univ. of Surrey, UK) BibRef

Lang, G.K., Seitz, P.,
Robust Classification of Arbitrary Object Classes Based on Hierarchical Spatial Feature-Matching,
MVA(10), No. 3, 1997, pp. 123-135.
HTML Version. 9709 BibRef

Stewart, C.V.,
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures,
PAMI(19), No. 8, August 1997, pp. 818-833.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9709 BibRef
And: TR96-4, RPI, Computer Science, 1996. Follow link under:
WWW Version. Dealing with outliers to the structure of interest, but not to another structure (i.e. a second structure). Looks at Least Median of Squares ( See also Robust Regression Methods for Computer Vision: A Review. Least Trimmed Squares ( See also Least Median of Squares Regression. ), M-Estimators ( See also Robust Statistics. ), Hough Transforms ( See also Survey of the Hough Transform, A. ), RANSAC ( See also Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. and M MINPRAN ( See also MINPRAN: A New Robust Estimator for Computer Vision. ). And says all have problems with this type of data. BibRef

Stewart, C.V.[Charles V.],
Robust Parameter Estimation in Computer Vision,
SIAM_Rev(41), No. 3, September 1999, pp. 513-537.
WWW Version. Stereo, Evaluation. Fundamental Matrix. Mosaic. Review of the use of robust statistice in computer vision for range, stereo, mosaic construction, etc. BibRef 9909

Kharin, Y.[Yurij], Zhuk, E.[Eugene],
Filtering of multivariate samples containing 'outliers' for clustering,
PRL(19), No. 12, 30 October 1998, pp. 1077-1085. BibRef 9810

Kharin, Y.[Yurij], Zhuk, E.[Eugene],
Robustness in statistical pattern recognition under 'contaminations' of training samples,
ICPR94(B:504-506).
WWW Version. 9410 BibRef

Kundur, D., Hatzinakos, D., and Leung, H.,
Robust Classification of Blurred Imagery,
IP(9), No. 2, February 2000, pp. 243-255.
WWW Version. 0003 BibRef
Earlier:
A Novel Approach to Robust Blind Classification of Remote Sensing Imagery,
ICIP97(III: 130-133).
WWW Version. BibRef

Meer, P.[Peter], Stewart, C.V.[Charles V.], Tyler, D.E.[David E.],
Robust Computer Vision: An Interdisciplinary Challenge,
CVIU(78), No. 1, April 2000, pp. 1-7.
WWW Version.
HTML Version. Robust Techniques. Special Issue introduction. 0004 BibRef

Meer, P.[Peter],
From a robust hierarchy to a hierarchy of robustness,
FIU01(323-347).
HTML Version. BibRef 0100

Kim, M.H.[Mun-Hwa], Jang, D.S.[Dong-Sik], Yang, Y.K.[Young-Kyu],
A robust-invariant pattern recognition model using Fuzzy ART,
PR(34), No. 8, August 2001, pp. 1685-1696.
WWW Version. 0105 BibRef

Jiang, M.F., Tseng, S.S., Su, C.M.,
Two-phase clustering process for outliers detection,
PRL(22), No. 6-7, May 2001, pp. 691-700.
HTML Version. 0105 BibRef

Shoham, S.[Shy],
Robust clustering by deterministic agglomeration EM of mixtures of multivariate t-distributions,
PR(35), No. 5, May 2002, pp. 1127-1142.
WWW Version. 0202 BibRef

Li, Y.H.[Yu-Hua], Pont, M.J.[Michael J.], Jones, N.B.[N. Barrie],
Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur,
PRL(23), No. 5, March 2002, pp. 569-577.
HTML Version. 0202 BibRef

Miller, D.J., Browning, J.,
A mixture model and EM-based algorithm for class discovery, robust classification, and outlier rejection in mixed labeled/unlabeled data sets,
PAMI(25), No. 11, November 2003, pp. 1468-1483.
IEEE Abstract. IEEE Top Reference. 0311Augment the training set with unlabeled examples, assumed to come from a know class or a completely new class. Robust analysis. BibRef

He, Z.[Zengyou], Xu, X.F.[Xiao-Fei], Deng, S.[Shengchun],
Discovering cluster-based local outliers,
PRL(24), No. 9-10, June 2003, pp. 1641-1650.
WWW Version. 0304 BibRef

Shekhar, S.[Shashi], Lu, C.T.[Chang-Tien], Zhang, P.S.[Pu-Sheng],
A Unified Approach to Detecting Spatial Outliers,
GeoInfo(7), No. 2, June 2003, pp. 139-166.
WWW Version. 0307 BibRef

Wang, Z.[Zidong], Liu, X.H.[Xiao-Hui],
Robust stability of two-dimensional uncertain discrete systems,
SPLetters(10), No. 5, May 2003, pp. 133-136.
IEEE Top Reference. 0304 BibRef
And: Corrections: SPLetters(10), No. 8, August 2003, pp. 250-250.
IEEE Abstract. IEEE Top Reference. 0308 BibRef

Sebe, N.[Nicu], Lew, M.S.[Michael S.],
Robust Computer Vision Theory and Applications,
KluwerApril 2003. ISBN 1-4020-1293-4.
WWW Version. BibRef 0304

Hu, T.M.[Tian-Ming], Sung, S.Y.[Sam Y.],
Detecting pattern-based outliers,
PRL(24), No. 16, December 2003, pp. 3059-3068.
WWW Version. 0310 BibRef

Zhang, J.S.[Jiang-She], Leung, Y.W.[Yiu-Wing],
Robust clustering by pruning outliers,
SMC-B(33), No. 6, December 2003, pp. 983-999.
IEEE Abstract. IEEE Top Reference. 0401 BibRef

Ouyang, S., Ching, P.C., Lee, T.,
Robust adaptive quasi-Newton algorithms for eigensubspace estimation,
VISP(150), No. 4, October 2003, pp. 321-330.
IEEE Abstract. IEEE Top Reference. 0401 BibRef

Li, Y.M.[Yong-Min],
On incremental and robust subspace learning,
PR(37), No. 7, July 2004, pp. 1509-1518.
WWW Version. 0405 BibRef

Wang, H.Z.[Han-Zi], Suter, D.[David],
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision,
PAMI(26), No. 11, November 2004, pp. 1459-1474.
IEEE Abstract. IEEE Top Reference. 0410 BibRef
Earlier:
Robust Fitting by Adaptive-Scale Residual Consensus,
ECCV04(Vol III: 107-118).
WWW Version. 0405Robust model fitting, estimate parameters, estimatte noise. Determine inliers and outliers. Adaptive-Scale Residual Consensus (ASRC). Robust to highly corrupted data. Compare to RANSAC ( See also Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. ). BibRef

Grinstead, B.[Brad], Koschan, A.F.[Andreas F.], Gribok, A.V.[Andrei V.], Abidi, M.A.[Mongi A.], Gorsich, D.[David],
Outlier rejection by oriented tracks to aid pose estimation from video,
PRL(27), No. 1, 1 January 2006, pp. 37-48.
WWW Version. 0512 BibRef

Ma, J.H.[Jiang-Hong], Leung, Y.[Yee], Luo, J.C.[Jian-Cheng],
A highly robust estimator for regression models,
PRL(27), No. 1, 1 January 2006, pp. 29-36.
WWW Version. 0512 BibRef

Kim, J.H.[Jae-Hak], Han, J.H.[Joon H.],
Outlier correction from uncalibrated image sequence using the Triangulation method,
PR(39), No. 3, March 2006, pp. 394-404.
WWW Version. 0601 BibRef

Fidler, S.[Sanja], Skocaj, D.[Danijel], Leonardis, A.[Aleš],
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling,
PAMI(28), No. 3, March 2006, pp. 337-350.
WWW Version. 0602PCA can help in reconstructing missing data. LDA for classification. BibRef

Skocaj, D.[Danijel], Leonardis, A.[Aleš], Bischof, H.[Horst],
Weighted and robust learning of subspace representations,
PR(40), No. 5, May 2007, pp. 1556-1569.
WWW Version. 0702 BibRef
Earlier: A1, A2, Only:
Weighted and robust incremental method for subspace learning,
ICCV03(1494-1501).
WWW Version. 0311Appearance-based modeling; Robust learning; Principal component analysis; Weighted PCA; Missing pixels; Robust PCA BibRef

Skocaj, D.[Danijel], Leonardis, A.[Ales],
Incremental and robust learning of subspace representations,
IVC(26), No. 1, 1 January 2008, pp. 27-38.
WWW Version. 0711Subspace learning; Incremental learning; Robust learning BibRef

Skocaj, D.[Danijel], Leonardis, A.[Aleš],
Robust recognition and pose determination of 3-D objects using range images in eigenspace approach,
3DIM01(171-178).
WWW Version. 0106 BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan],
Robust locally linear embedding,
PR(39), No. 6, June 2006, pp. 1053-1065.
WWW Version. Nonlinear dimensionality reduction; Manifold learning; Locally linear embedding; Principal component analysis; Outlier; Robust statistics; M-estimation; Handwritten digit; Wood texture 0604 BibRef

Yeung, D.Y.[Dit-Yan], Chang, H.[Hong],
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints,
PR(39), No. 5, May 2006, pp. 1007-1010.
WWW Version. Metric learning; Mahalanobis metric; Semi-supervised learning 0604 BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan],
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval,
PR(39), No. 7, July 2006, pp. 1253-1264.
WWW Version. 0606 BibRef
Earlier:
Stepwise Metric Adaptation Based on Semi-Supervised Learning for Boosting Image Retrieval Performance,
BMVC05(xx-yy).
HTML Version. 0509Metric learning; Linear transformation; Semi-supervised clustering; Gradient method; Iterative majorization; Spectral method; Content-based image retrieval BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan],
Locally Smooth Metric Learning with Application to Image Retrieval,
ICCV07(1-7).
WWW Version. 0710 BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan],
Kernel-based distance metric learning for content-based image retrieval,
IVC(25), No. 5, 1 May 2007, pp. 695-703.
WWW Version. 0703Metric learning; Kernel method; Content-based image retrieval; Relevance feedback BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan],
Graph Laplacian Kernels for Object Classification from a Single Example,
CVPR06(II: 2011-2016).
WWW Version. 0606 BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan], Cheung, W.K.[William K.],
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval,
PR(39), No. 10, October 2006, pp. 1905-1917.
WWW Version. Distance metric; Nonparametric method; Constrained k-means; Side information; Pairwise similarity and dissimilarity; Content-based image retrieval 0606 BibRef

Franti, P.[Pasi], Virmajoki, O.[Olli], Hautamaki, V.,
Fast Agglomerative Clustering Using a k-Nearest Neighbor Graph,
PAMI(28), No. 11, November 2006, pp. 1875-1881.
WWW Version. 0609 BibRef

Hautamaki, V.[Ville], Kinnunen, T.[Tomi], Franti, P.[Pasi],
Text-independent speaker recognition using graph matching,
PRL(29), No. 9, 1 July 2008, pp. 1427-1432.
WWW Version. 0711Affine transformation invariance; Graph matching; Structural matching; kNN graph; Clustering; Speaker recognition BibRef

Hautamaki, V., Karkkainen, I., Franti, P.,
Outlier detection using k-nearest neighbour graph,
ICPR04(III: 430-433).
WWW Version. 0409 BibRef

Ng, M.K.[Michael K.], Chan, E.Y.[Elaine Y.], So, M.M.C.[Meko M.C.], Ching, W.K.[Wai-Ki],
A semi-supervised regression model for mixed numerical and categorical variables,
PR(40), No. 6, June 2007, pp. 1745-1752.
WWW Version. 0704Clustering; Regression; Data mining; Numerical variables; Categorical variables BibRef

Hillenbrand, U.[Ulrich],
Consistent parameter clustering: Definition and analysis,
PRL(28), No. 9, 1 July 2007, pp. 1112-1122.
WWW Version. 0704Robust estimation; Clustering; Hough transform; Statistical consistency BibRef

Hoseinnezhad, R.[Reza], Bab-Hadiashar, A.[Alireza],
Consistency of robust estimators in multi-structural visual data segmentation,
PR(40), No. 12, December 2007, pp. 3677-3690.
WWW Version. 0709 BibRef
And:
A Novel High Breakdown M-estimator for Visual Data Segmentation,
ICCV07(1-6).
WWW Version. 0710Robust scale estimation; Robust model fitting; Consistent estimators BibRef

Bandyopadhyay, S.[Sanghamitra], Santra, S.[Santanu],
A genetic approach for efficient outlier detection in projected space,
PR(41), No. 4, April 2008, pp. 1338-1349.
WWW Version. 0801Deviation detection; Gene expression; Genetic algorithm; Grid count tree; Projected dimension; Outlier BibRef

Raducanu, B.[Bogdan], Vitriŕ, J.[Jordi],
Incremental Subspace Learning for Cognitive Visual Processes,
BVAI07(214-223).
WWW Version. 0710 BibRef

Ferraz, L., Felip, R., Martínez, B., Binefa, X.,
A Density-Based Data Reduction Algorithm for Robust Estimators,
IbPRIA07(II: 355-362).
WWW Version. 0706 BibRef

Xiong, L.[Liang], Li, J.G.[Jian-Guo], Zhang, C.S.[Chang-Shui],
Discriminant Additive Tangent Spaces for Object Recognition,
CVPR07(1-8).
WWW Version. 0706 BibRef

Khurd, P.[Parmeshwar], Baloch, S.[Sajjad], Gur, R.[Ruben], Davatzikos, C.[Christos], Verma, R.[Ragini],
Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images,
ComponentAnalysis07(1-7).
WWW Version. 0706 BibRef

Tax, D.M.J.[David M. J.], Juszczak, P.[Piotr], Pekalska, E.[Elzbieta], Duin, R.P.W.[Robert P. W.],
Outlier Detection Using Ball Descriptions with Adjustable Metric,
SSPR06(587-595).
WWW Version. 0608 BibRef

Colliez, J., Dufrenois, F., Hamad, D.,
Robust Regression and Outlier Detection with SVR: Application to Optic Flow Estimation,
BMVC06(III:1229).
PDF Version. 0609 BibRef

Hu, J.Y.[Jian-Ying], Ray, B.[Bonnie], Han, L.[Lanshan],
An Interweaved HMM/DTW Approach to Robust Time Series Clustering,
ICPR06(III: 145-148).
WWW Version. 0609 BibRef

Zheng, W.M.[Wen-Ming], Tang, X.[Xiaoou],
A Robust Algorithm for Generalized Orthonormal Discriminant Vectors,
ICPR06(II: 784-787).
WWW Version. 0609 BibRef

Felsberg, M.[Michael], Granlund, G.H.[Gosta H.],
P-Channels: Robust Multivariate M-Estimation of Large Datasets,
ICPR06(III: 262-267).
WWW Version. 0609 BibRef

Yang, F.W.[Fu-Wen], Lin, H.J.[Hwei-Jen], Wang, P.S.P.[Patrick S. P.], Wu, H.H.[Hung-Hsuan],
Robust Clustering based on Winner-Population Markov Chain,
ICPR06(II: 589-592).
WWW Version. 0609 BibRef

Cao, W.B.[Wen-Bo], Haralick, R.M.[Robert M.],
Nonlinear Manifold Clustering By Dimensionality,
ICPR06(I: 920-924).
WWW Version. 0609 BibRef

Sim, K.[Kristy], Hartley, R.[Richard],
Removing Outliers Using The L-inf Norm,
CVPR06(I: 485-494).
WWW Version. 0606 See also Recovering Camera Motion Using L-inf Minimization. BibRef

Hou, X.W.[Xin-Wen], Liu, C.L.[Cheng-Lin], Tan, T.N.[Tie-Niu],
Learning Boosted Asymmetric Classifiers for Object Detection,
CVPR06(I: 330-338).
WWW Version. 0606 BibRef

Kaufhold, J.[John], Abbott, J.[Justin], Kaucic, R.[Robert],
Distributed Cost Boosting and Bounds on Mis-classification Cost,
CVPR06(I: 146-153).
WWW Version. 0606Cost sensitive boosting for industrial applications. BibRef

den Hollander, R.J.M., Hanjalic, A.,
Outlier identification in stereo correspondences using quadrics,
BMVC05(xx-yy).
HTML Version. 0509Robust method for computing epipolar geometry from matches. BibRef

Subbarao, R.[Raghav], Genc, Y.[Yakup], Meer, P.[Peter],
Robust unambiguous parametrization of the essential manifold,
CVPR08(1-8).
WWW Version. 0806 BibRef
Earlier:
Nonlinear Mean Shift for Robust Pose Estimation,
WACV07(6-6).
WWW Version. 0702 BibRef

Subbarao, R.[Raghav], Meer, P.[Peter],
Discontinuity Preserving Filtering over Analytic Manifolds,
CVPR07(1-6).
WWW Version. 0706 BibRef
Earlier:
Nonlinear Mean Shift for Clustering over Analytic Manifolds,
CVPR06(I: 1168-1175).
WWW Version. 0606 BibRef
And:
Subspace Estimation Using Projection Based M-Estimators over Grassmann Manifolds,
ECCV06(I: 301-312).
WWW Version. 0608 BibRef
Earlier:
Heteroscedastic Projection Based M-Estimators,
EEMCV05(III: 38-38).
WWW Version. 0507projection based estimator to eliminate RANSAC problems. BibRef

Yan, W.[Wang], Liu, Q.S.[Qing-Shan], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Multiple Similarities Based Kernel Subspace Learning for Image Classification,
ACCV06(II:244-253).
WWW Version. 0601 BibRef

Grossmann, E.[Etienne],
AdaTree: Boosting a Weak Classifier into a Decision Tree,
LCV04(105).
WWW Version. 0406 BibRef

Souvenir, R.[Richard], Pless, R.[Robert],
Manifold Clustering,
ICCV05(I: 648-653).
WWW Version. 0510Separating intersecting classes. BibRef

Herbin, S.,
Robust multihypothesis discrimination of controlled I.I.D. processes,
ICPR04(I: 200-203).
WWW Version. 0409 BibRef

Chen, H.F.[Hai-Feng], Shimshoni, I., Meer, P.,
Model based object recognition by robust information fusion,
ICPR04(III: 57-60).
WWW Version. 0409 BibRef

Ying, Z.[Zhao], Keong, K.C.[Kwoh Chee],
Fast leave-one-out evaluation and improvement on inference for LS-SVMs,
ICPR04(III: 494-497).
WWW Version. 0409 BibRef

Park, J.H.[Jin-Hyeong], Zhang, Z.Y.[Zhen-Yue], Zha, H.Y.[Hong-Yuan], Kasturi, R.,
Local smoothing for manifold learning,
CVPR04(II: 452-459).
IEEE Abstract. IEEE Top Reference. 0408Weighted smoothing for outlier detection. Build on weighted PCA. BibRef

Chen, H.F.[Hai-Feng], Meer, P.,
Robust regression with projection based m-estimators,
ICCV03(878-885).
WWW Version. 0311 BibRef

Lepetit, V., Shahrokni, A., Fua, P.,
Robust data association for online applications,
CVPR03(I: 281-288).
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Choukroun, A.[Ariel], Charvillat, V.[Vincent],
Bucketing Techniques in Robust Regression for Computer Vision,
SCIA03(609-616).
WWW Version. 0310 BibRef

Ben Hamza, A.[Abdessamad], Krim, H.,
Robust influence functionals for image filtering,
ICIP03(III: 361-364).
IEEE Abstract. IEEE Top Reference. 0312 See also Geodesic Matching of Triangulated Surfaces. BibRef

Izquierdo, E.[Ebroul],
A Highly Robust Regressor and its Application in Computer Vision,
BMVC00(xx-yy).
PDF Version. 0009 BibRef

Myatt, D.R., Torr, P.H.S., Nasuto, S.J., Bishop, J.M., Craddock, R.,
NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag,
BMVC02(Computer Vision Tools). 0208 BibRef

Rosenberg, C.[Chuck], Hebert, M.[Martial], Schneiderman, H.[Henry],
Semi-Supervised Self-Training of Object Detection Models,
WACV05(I: 29-36).
WWW Version. 0502 BibRef

Rosenberg, C., Hebert, M.,
Training Object Detection Models with Weakly Labeled Data,
BMVC02(Poster Session). 0208 BibRef

Comby, F.[Frederic], Strauss, O.[Olivier], Aldon, M.J.[Marie-José],
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Boosting, AdaBoost Technique .