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.
136 related articles for article (PubMed ID: 30263012)
1. Projections as visual aids for classification system design. Rauber PE; Falcão AX; Telea AC Inf Vis; 2018 Oct; 17(4):282-305. PubMed ID: 30263012 [TBL] [Abstract][Full Text] [Related]
2. Visualizing the Hidden Activity of Artificial Neural Networks. Rauber PE; Fadel SG; Falcao AX; Telea AC IEEE Trans Vis Comput Graph; 2017 Jan; 23(1):101-110. PubMed ID: 27875137 [TBL] [Abstract][Full Text] [Related]
3. Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality. Shetta O; Niranjan M R Soc Open Sci; 2020 Feb; 7(2):190714. PubMed ID: 32257299 [TBL] [Abstract][Full Text] [Related]
4. Exploring high dimensional data with Butterfly: a novel classification algorithm based on discrete dynamical systems. Geraci J; Dharsee M; Nuin P; Haslehurst A; Koti M; Feilotter HE; Evans K Bioinformatics; 2014 Mar; 30(5):712-8. PubMed ID: 24149051 [TBL] [Abstract][Full Text] [Related]
5. Local Feature Discriminant Projection. Yu M; Shao L; Zhen X; He X IEEE Trans Pattern Anal Mach Intell; 2016 Sep; 38(9):1908-14. PubMed ID: 26552074 [TBL] [Abstract][Full Text] [Related]
6. 3D scattering transforms for disease classification in neuroimaging. Adel T; Cohen T; Caan M; Welling M; Neuroimage Clin; 2017; 14():506-517. PubMed ID: 28289601 [TBL] [Abstract][Full Text] [Related]
7. caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data. Zhu Y; Li H; Miller DJ; Wang Z; Xuan J; Clarke R; Hoffman EP; Wang Y BMC Bioinformatics; 2008 Sep; 9():383. PubMed ID: 18801195 [TBL] [Abstract][Full Text] [Related]
8. Bayesian supervised dimensionality reduction. Gönen M IEEE Trans Cybern; 2013 Dec; 43(6):2179-89. PubMed ID: 23757527 [TBL] [Abstract][Full Text] [Related]
9. Robust dimensionality reduction via feature space to feature space distance metric learning. Li B; Fan ZT; Zhang XL; Huang DS Neural Netw; 2019 Apr; 112():1-14. PubMed ID: 30716617 [TBL] [Abstract][Full Text] [Related]
10. Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. Hoppenstedt B; Reichert M; Kammerer K; Probst T; Schlee W; Spiliopoulou M; Pryss R Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31510064 [TBL] [Abstract][Full Text] [Related]
11. Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms. Bromuri S; Zufferey D; Hennebert J; Schumacher M J Biomed Inform; 2014 Oct; 51():165-75. PubMed ID: 24879897 [TBL] [Abstract][Full Text] [Related]
12. Maximum margin projection subspace learning for visual data analysis. Nikitidis S; Tefas A; Pitas I IEEE Trans Image Process; 2014 Oct; 23(10):4413-25. PubMed ID: 25148664 [TBL] [Abstract][Full Text] [Related]
13. Flexible unsupervised feature extraction for image classification. Liu Y; Nie F; Gao Q; Gao X; Han J; Shao L Neural Netw; 2019 Jul; 115():65-71. PubMed ID: 30974302 [TBL] [Abstract][Full Text] [Related]
14. Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection. Ang JC; Mirzal A; Haron H; Hamed HN IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):971-989. PubMed ID: 26390495 [TBL] [Abstract][Full Text] [Related]
15. Machine learning models based on the dimensionality reduction of standard automated perimetry data for glaucoma diagnosis. Lee SD; Lee JH; Choi YG; You HC; Kang JH; Jun CH Artif Intell Med; 2019 Mar; 94():110-116. PubMed ID: 30871677 [TBL] [Abstract][Full Text] [Related]
16. Multiple kernel learning for dimensionality reduction. Lin YY; Liu TL; Fuh CS IEEE Trans Pattern Anal Mach Intell; 2011 Jun; 33(6):1147-60. PubMed ID: 20921580 [TBL] [Abstract][Full Text] [Related]
17. Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction. Hong D; Yokoya N; Chanussot J; Xu J; Zhu XX ISPRS J Photogramm Remote Sens; 2019 Dec; 158():35-49. PubMed ID: 31853165 [TBL] [Abstract][Full Text] [Related]
18. Probabilistic analysis of human supervised learning and classification. Rentschler I; Jüttner M; Caelli T Vision Res; 1994 Mar; 34(5):669-87. PubMed ID: 8160385 [TBL] [Abstract][Full Text] [Related]
19. Hybrid dimensionality reduction method based on support vector machine and independent component analysis. Moon S; Qi H IEEE Trans Neural Netw Learn Syst; 2012 May; 23(5):749-61. PubMed ID: 24806124 [TBL] [Abstract][Full Text] [Related]