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.
2. Acquisition of nonlinear forward optics in generative models: two-stage "downside-up" learning for occluded vision. Tajima S; Watanabe M Neural Netw; 2011 Mar; 24(2):148-58. PubMed ID: 21094592 [TBL] [Abstract][Full Text] [Related]
3. A hybrid learning network for shift, orientation, and scaling invariant pattern recognition. Wang R Network; 2001 Nov; 12(4):493-512. PubMed ID: 11762901 [TBL] [Abstract][Full Text] [Related]
4. Significance of distributed representation in the output layer of a neural network in a pattern recognition task. Takeda T; Kishi K; Yamanouchi T; Mizoe H; Matsuoka T Med Biol Eng Comput; 1994 Jan; 32(1):77-84. PubMed ID: 8182966 [TBL] [Abstract][Full Text] [Related]
5. Representation is representation of similarities. Edelman S Behav Brain Sci; 1998 Aug; 21(4):449-67; discussion 467-98. PubMed ID: 10097019 [TBL] [Abstract][Full Text] [Related]
6. Recursive principal components analysis. Voegtlin T Neural Netw; 2005 Oct; 18(8):1051-63. PubMed ID: 16181769 [TBL] [Abstract][Full Text] [Related]
7. Similarity preserving principal curve: an optimal 1-d feature extractor for data representation. Sun M; Yang J; Liu C; Yang J IEEE Trans Neural Netw; 2010 Sep; 21(9):1445-56. PubMed ID: 20570770 [TBL] [Abstract][Full Text] [Related]
8. Novel maximum-margin training algorithms for supervised neural networks. Ludwig O; Nunes U IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990 [TBL] [Abstract][Full Text] [Related]
9. Visual shape representation with geometrically characterized contour partitions. Matsuda Y; Ogawa M; Yano M Biol Cybern; 2012 Jul; 106(4-5):295-305. PubMed ID: 22744198 [TBL] [Abstract][Full Text] [Related]
10. Symbolic representation of recurrent neural network dynamics. Huynh TQ; Reggia JA IEEE Trans Neural Netw Learn Syst; 2012 Oct; 23(10):1649-58. PubMed ID: 24808009 [TBL] [Abstract][Full Text] [Related]
11. Learning to represent spatial transformations with factored higher-order Boltzmann machines. Memisevic R; Hinton GE Neural Comput; 2010 Jun; 22(6):1473-92. PubMed ID: 20141471 [TBL] [Abstract][Full Text] [Related]
12. Identification of spinal deformity classification with total curvature analysis and artificial neural network. Lin H IEEE Trans Biomed Eng; 2008 Jan; 55(1):376-82. PubMed ID: 18232388 [TBL] [Abstract][Full Text] [Related]
13. A neural network model for schemas based on pattern completion. Javanbakht A J Am Acad Psychoanal Dyn Psychiatry; 2011; 39(2):243-61. PubMed ID: 21699351 [TBL] [Abstract][Full Text] [Related]
14. Learning the parts of objects by auto-association. Ge X; Iwata S Neural Netw; 2002 Mar; 15(2):285-95. PubMed ID: 12022515 [TBL] [Abstract][Full Text] [Related]
18. An introduction to object recognition. Liter JC; Bülthoff HH Z Naturforsch C J Biosci; 1998; 53(7-8):610-21. PubMed ID: 9840950 [TBL] [Abstract][Full Text] [Related]
19. The formation of categories and the representation of feature saliency: analysis with a computational model trained with an Hebbian paradigm. Ursino M; Cuppini C; Magosso E J Integr Neurosci; 2013 Dec; 12(4):401-25. PubMed ID: 24372062 [TBL] [Abstract][Full Text] [Related]
20. Neocognitron and the Map Transformation Cascade. Cardoso A; Wichert A Neural Netw; 2010 Jan; 23(1):74-88. PubMed ID: 19783403 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]