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Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations.

, , , , , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 99-106. Springer, (2012)

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Learning kernels from labels with ideal regularization., , and . ICPR, page 505-508. IEEE Computer Society, (2012)Supervised Kernel Construction for Unsupervised PCA on Face Recognition., , , and . CCPR (2), volume 484 of Communications in Computer and Information Science, page 351-359. Springer, (2014)Nonlinear nonnegative matrix factorization based on Mercer kernel construction., , and . Pattern Recognition, 44 (10-11): 2800-2810 (2011)A novel discriminant criterion based on feature fusion strategy for face recognition., , , and . Neurocomputing, (2015)Learning low-rank Mercer kernels with fast-decaying spectrum., , and . Neurocomputing, 74 (17): 3028-3035 (2011)A Novel Nonnegative Matrix Factorization Algorithm for Multi-manifold Learning., , , and . CCBR, volume 9967 of Lecture Notes in Computer Science, page 575-582. (2016)Automatic Classifier Selection Based on Classification Complexity., , and . PRCV (3), volume 11258 of Lecture Notes in Computer Science, page 292-303. Springer, (2018)Learning Geometry-Aware Kernels in a Regularization Framework., and . CAIP (1), volume 8047 of Lecture Notes in Computer Science, page 352-359. Springer, (2013)Nonlinear Nonnegative Matrix Factorization Based on Discriminant Analysis with Application to Face Recognition., , , and . CIS, page 191-194. IEEE Computer Society, (2015)Nonnegative matrix factorization with manifold structure for face recognition., , , and . IJWMIP, 17 (2): 1940006 (2019)