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Furukawa, Y.,
Gradient descent learning of nearest neighbor classifiers with outlier
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Elsevier DOI
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BibRef
Black, M.J.,
Rangarajan, A.,
On The Unification of Line Processes, Outlier Rejection, and
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IJCV(19), No. 1, July 1996, pp. 57-91.
Springer DOI
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9608
BibRef
Earlier:
The Outlier Process: Unifying Line Processes and Robust Statistics,
CVPR94(15-22).
IEEE DOI Applied to reconstruction of degraded images.
BibRef
Tax, D.M.J.[David M.J.],
Duin, R.P.W.[Robert P.W.],
Growing a multi-class classifier with a reject option,
PRL(29), No. 10, 15 July 2008, pp. 1565-1570.
Elsevier DOI
0711
Multi-class classification, Outlier detection, Rejection
See also Precision-recall operating characteristic (P-ROC) curves in imprecise environments.
BibRef
Miller, D.J.,
Browning, J.,
A mixture model and EM-based algorithm for class discovery, robust
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sets,
PAMI(25), No. 11, November 2003, pp. 1468-1483.
IEEE Abstract.
0311
Augment the training set with unlabeled examples, assumed to come from
a know class or a completely new class.
Robust analysis.
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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.
Elsevier DOI
0512
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Lee, H.J.[Hyun-Jung],
Seo, Y.D.[Yong-Duek],
Lee, S.W.[Sang Wook],
Removing outliers by minimizing the sum of infeasibilities,
IVC(28), No. 6, June 2010, pp. 881-889.
Elsevier DOI
1003
The L-infinity optimization; Outlier removal; The sum of infeasibilities
BibRef
Yu, S.X.[Stella X.],
Angular Embedding: A Robust Quadratic Criterion,
PAMI(34), No. 1, January 2012, pp. 158-173.
IEEE DOI
1112
given pairwise local ordering, find global ordering.
Outlier removal.
BibRef
Zhao, J.[Ji],
Ma, J.Y.[Jia-Yi],
Tian, J.W.[Jin-Wen],
Ma, J.[Jie],
Zhang, D.Z.[Da-Zhi],
A robust method for vector field learning with application to mismatch
removing,
CVPR11(2977-2984).
IEEE DOI
1106
Vector Field Consensus (VFC).
Distinguish inliers from outliers.
BibRef
Yu, S.X.[Stella X.],
Angular Embedding: A Robust Quadratic Criterion,
PAMI(34), No. 1, January 2012, pp. 158-173.
IEEE DOI
1112
given pairwise local ordering, find global ordering.
Outlier removal.
BibRef
Zhao, J.[Ji],
Ma, J.Y.[Jia-Yi],
Tian, J.W.[Jin-Wen],
Ma, J.[Jie],
Zhang, D.Z.[Da-Zhi],
A robust method for vector field learning with application to mismatch
removing,
CVPR11(2977-2984).
IEEE DOI
1106
Vector Field Consensus (VFC).
Distinguish inliers from outliers.
BibRef
Condessa, F.[Filipe],
Bioucas-Dias, J.M.[José M.],
Kovacevic, J.[Jelena],
Performance measures for classification systems with rejection,
PR(63), No. 1, 2017, pp. 437-450.
Elsevier DOI
1612
Classification with rejection
BibRef
Ma, J.Y.[Jia-Yi],
Jiang, X.Y.[Xing-Yu],
Jiang, J.J.[Jun-Jun],
Guo, X.J.[Xiao-Jie],
Robust Feature Matching Using Spatial Clustering With Heavy Outliers,
IP(29), No. 1, 2020, pp. 736-746.
IEEE DOI
1910
Task analysis, Clustering methods, Databases,
Pattern matching, Complexity theory,
mismatch removal
BibRef
Hanczar, B.[Blaise],
Performance visualization spaces for classification with rejection
option,
PR(96), 2019, pp. 106984.
Elsevier DOI
1909
Classification with reject option, Classifier performances
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Chen, S.X.[Shun-Xing],
Zheng, L.X.[Lin-Xin],
Xiao, G.B.[Guo-Bao],
Zhong, Z.[Zhen],
Ma, J.Y.[Jia-Yi],
CSDA-Net: Seeking reliable correspondences by channel-Spatial
difference augment network,
PR(126), 2022, pp. 108539.
Elsevier DOI
2204
Feature matching, Deep learning, Outlier rejection, Attention mechanism
BibRef
Shi, Z.W.[Zi-Wei],
Xiao, G.B.[Guo-Bao],
Zheng, L.X.[Lin-Xin],
Ma, J.Y.[Jia-Yi],
Chen, R.Q.[Ri-Qing],
JRA-Net: Joint representation attention network for correspondence
learning,
PR(135), 2023, pp. 109180.
Elsevier DOI
2212
Correspondences, Joint representation, Attention mechanism,
Outlier rejection, Pose estimation
BibRef
Calli, E.[Erdi],
van Ginneken, B.[Bram],
Sogancioglu, E.[Ecem],
Murphy, K.[Keelin],
FRODO: An In-Depth Analysis of a System to Reject Outlier Samples
From a Trained Neural Network,
MedImg(42), No. 4, April 2023, pp. 971-981.
IEEE DOI
2304
Task analysis, Biomedical imaging, X-ray imaging, Measurement,
Training, Neural networks, Deep learning, Deep learning, statistics
BibRef
Liu, W.[Wei],
Hua, G.[Gang],
Smith, J.R.[John R.],
Unsupervised One-Class Learning for Automatic Outlier Removal,
CVPR14(3826-3833)
IEEE DOI
1409
One-Class Learning; Outlier Removal
BibRef
Seo, Y.D.[Yong-Duek],
Lee, H.J.[Hyun-Jung],
Lee, S.W.[Sang Wook],
Outlier Removal by Convex Optimization for L-Infinity Approaches,
PSIVT09(203-214).
Springer DOI
0901
BibRef
Sim, K.[Kristy],
Hartley, R.I.[Richard I.],
Removing Outliers Using The L-inf Norm,
CVPR06(I: 485-494).
IEEE DOI
0606
See also Recovering Camera Motion Using L-inf Minimization.
BibRef
Hautamäki, V.[Ville],
Cherednichenko, S.[Svetlana],
Kärkkäinen, I.[Ismo],
Kinnunen, T.[Tomi],
Fränti, P.[Pasi],
Improving K-Means by Outlier Removal,
SCIA05(978-987).
Springer DOI
0506
BibRef
Baker, S.[Simon],
Nayar, S.K.[Shree K.],
Pattern Rejection,
CVPR96(544-549).
IEEE DOI
BibRef
9600
And:
Algorithms for Pattern Rejection,
ICPR96(II: 869-874).
IEEE DOI
9608
BibRef
And:
A Theory of Pattern Rejection,
ARPA96(1161-1166).
(Columbia Univ., USA)
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Boosting, AdaBoost Technique .