These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
85 related articles for article (PubMed ID: 26849873)
1. Learning in Variable-Dimensional Spaces. Diligenti M; Gori M; Sacca C IEEE Trans Neural Netw Learn Syst; 2016 Jun; 27(6):1322-32. PubMed ID: 26849873 [TBL] [Abstract][Full Text] [Related]
2. Foundations of support constraint machines. Gnecco G; Gori M; Melacci S; Sanguineti M Neural Comput; 2015 Feb; 27(2):388-480. PubMed ID: 25380338 [TBL] [Abstract][Full Text] [Related]
3. A similarity learning approach to content-based image retrieval: application to digital mammography. El-Naqa I; Yang Y; Galatsanos NP; Nishikawa RM; Wernick MN IEEE Trans Med Imaging; 2004 Oct; 23(10):1233-44. PubMed ID: 15493691 [TBL] [Abstract][Full Text] [Related]
4. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels. Jayasumana S; Hartley R; Salzmann M; Li H; Harandi M IEEE Trans Pattern Anal Mach Intell; 2015 Dec; 37(12):2464-77. PubMed ID: 26539851 [TBL] [Abstract][Full Text] [Related]
5. Feature selection and multi-kernel learning for sparse representation on a manifold. Wang JJ; Bensmail H; Gao X Neural Netw; 2014 Mar; 51():9-16. PubMed ID: 24333479 [TBL] [Abstract][Full Text] [Related]
6. Learning With Mixed Hard/Soft Pointwise Constraints. Gnecco G; Gori M; Melacci S; Sanguineti M IEEE Trans Neural Netw Learn Syst; 2015 Sep; 26(9):2019-32. PubMed ID: 25389245 [TBL] [Abstract][Full Text] [Related]
7. Design of multimodal dissimilarity spaces for retrieval of video documents. Bruno E; Moenne-Loccoz N; Marchand-Maillet S IEEE Trans Pattern Anal Mach Intell; 2008 Sep; 30(9):1520-33. PubMed ID: 18617712 [TBL] [Abstract][Full Text] [Related]
8. An adaptable image retrieval system with relevance feedback using kernel machines and selective sampling. Azimi-Sadjadi MR; Salazar J; Srinivasan S IEEE Trans Image Process; 2009 Jul; 18(7):1645-59. PubMed ID: 19447718 [TBL] [Abstract][Full Text] [Related]
9. Learning with box kernels. Melacci S; Gori M IEEE Trans Pattern Anal Mach Intell; 2013 Nov; 35(11):2680-92. PubMed ID: 24051728 [TBL] [Abstract][Full Text] [Related]
10. Progressive image denoising through hybrid graph Laplacian regularization: a unified framework. Liu X; Zhai D; Zhao D; Zhai G; Gao W IEEE Trans Image Process; 2014 Apr; 23(4):1491-503. PubMed ID: 24565791 [TBL] [Abstract][Full Text] [Related]
11. Penalized preimage learning in kernel principal component analysis. Zheng WS; Lai J; Yuen PC IEEE Trans Neural Netw; 2010 Apr; 21(4):551-70. PubMed ID: 20144918 [TBL] [Abstract][Full Text] [Related]
12. A trace ratio maximization approach to multiple kernel-based dimensionality reduction. Jiang W; Chung FL Neural Netw; 2014 Jan; 49():96-106. PubMed ID: 24211342 [TBL] [Abstract][Full Text] [Related]
14. Online learning control using adaptive critic designs with sparse kernel machines. Xu X; Hou Z; Lian C; He H IEEE Trans Neural Netw Learn Syst; 2013 May; 24(5):762-75. PubMed ID: 24808426 [TBL] [Abstract][Full Text] [Related]
15. [Statistical analysis of big data: an approach based on support vector machines for classification and regression problems]. Kadyrova NO; Pavlova LV Biofizika; 2014; 59(3):446-57. PubMed ID: 25715585 [TBL] [Abstract][Full Text] [Related]
16. Design of a multiple kernel learning algorithm for LS-SVM by convex programming. Jian L; Xia Z; Liang X; Gao C Neural Netw; 2011 Jun; 24(5):476-83. PubMed ID: 21441012 [TBL] [Abstract][Full Text] [Related]
17. Discriminative graph embedding for label propagation. Nguyen CH; Mamitsuka H IEEE Trans Neural Netw; 2011 Sep; 22(9):1395-405. PubMed ID: 21788187 [TBL] [Abstract][Full Text] [Related]
18. Ideal regularization for learning kernels from labels. Pan B; Lai J; Shen L Neural Netw; 2014 Aug; 56():22-34. PubMed ID: 24824969 [TBL] [Abstract][Full Text] [Related]
19. Graph-based semisupervised learning. Culp M; Michailidis G IEEE Trans Pattern Anal Mach Intell; 2008 Jan; 30(1):174-9. PubMed ID: 18000333 [TBL] [Abstract][Full Text] [Related]
20. Stochastic subset selection for learning with kernel machines. Rhinelander J; Liu XP IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):616-26. PubMed ID: 22049369 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]