149 related articles for article (PubMed ID: 28141531)
1. Feature Combination via Clustering.
Hou J; Gao H; Li X
IEEE Trans Neural Netw Learn Syst; 2018 Apr; 29(4):896-907. PubMed ID: 28141531
[TBL] [Abstract][Full Text] [Related]
2. Multiple Kernel k-Means Clustering by Selecting Representative Kernels.
Yao Y; Li Y; Jiang B; Chen H
IEEE Trans Neural Netw Learn Syst; 2021 Nov; 32(11):4983-4996. PubMed ID: 33017298
[TBL] [Abstract][Full Text] [Related]
3. Multiple Kernel k-Means with Incomplete Kernels.
Liu X; Zhu X; Li M; Wang L; Zhu E; Liu T; Kloft M; Shen D; Yin J; Gao W
IEEE Trans Pattern Anal Mach Intell; 2020 May; 42(5):1191-1204. PubMed ID: 30640600
[TBL] [Abstract][Full Text] [Related]
4. Feature Selection and Kernel Learning for Local Learning-Based Clustering.
Zeng H; Cheung YM
IEEE Trans Pattern Anal Mach Intell; 2011 Aug; 33(8):1532-47. PubMed ID: 21135434
[TBL] [Abstract][Full Text] [Related]
5. Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.
Zhou S; Liu X; Li M; Zhu E; Liu L; Zhang C; Yin J
IEEE Trans Neural Netw Learn Syst; 2020 Apr; 31(4):1351-1362. PubMed ID: 31265409
[TBL] [Abstract][Full Text] [Related]
6. Automatic plankton image classification combining multiple view features via multiple kernel learning.
Zheng H; Wang R; Yu Z; Wang N; Gu Z; Zheng B
BMC Bioinformatics; 2017 Dec; 18(Suppl 16):570. PubMed ID: 29297354
[TBL] [Abstract][Full Text] [Related]
7. A multiple kernel density clustering algorithm for incomplete datasets in bioinformatics.
Liao L; Li K; Li K; Yang C; Tian Q
BMC Syst Biol; 2018 Nov; 12(Suppl 6):111. PubMed ID: 30463619
[TBL] [Abstract][Full Text] [Related]
8. A multi-label learning based kernel automatic recommendation method for support vector machine.
Zhang X; Song Q
PLoS One; 2015; 10(3):e0120455. PubMed ID: 25893896
[TBL] [Abstract][Full Text] [Related]
9. Sepsis mortality prediction with the Quotient Basis Kernel.
Ribas Ripoll VJ; Vellido A; Romero E; Ruiz-Rodríguez JC
Artif Intell Med; 2014 May; 61(1):45-52. PubMed ID: 24726036
[TBL] [Abstract][Full Text] [Related]
10. Feature Combination and the kNN Framework in Object Classification.
Hou J; Gao H; Xia Q; Qi N
IEEE Trans Neural Netw Learn Syst; 2016 Jun; 27(6):1368-78. PubMed ID: 26316223
[TBL] [Abstract][Full Text] [Related]
11. Sparse multiple kernel learning for signal processing applications.
Subrahmanya N; Shin YC
IEEE Trans Pattern Anal Mach Intell; 2010 May; 32(5):788-98. PubMed ID: 20299705
[TBL] [Abstract][Full Text] [Related]
12. Graph kernels combined with the neural network on protein classification.
Qiangrong J; Guang Q
J Bioinform Comput Biol; 2019 Oct; 17(5):1950030. PubMed ID: 31856667
[TBL] [Abstract][Full Text] [Related]
13. Multiple Kernel Learning for Visual Object Recognition: A Review.
Bucak SS; Rong Jin ; Jain AK
IEEE Trans Pattern Anal Mach Intell; 2014 Jul; 36(7):1354-69. PubMed ID: 26353308
[TBL] [Abstract][Full Text] [Related]
14. Combining Multiple Resting-State fMRI Features during Classification: Optimized Frameworks and Their Application to Nicotine Addiction.
Ding X; Yang Y; Stein EA; Ross TJ
Front Hum Neurosci; 2017; 11():362. PubMed ID: 28747877
[TBL] [Abstract][Full Text] [Related]
15. Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement.
Wang S; Liu X; Liu L; Zhou S; Zhu E
IEEE Trans Neural Netw Learn Syst; 2023 Aug; 34(8):4359-4370. PubMed ID: 34648458
[TBL] [Abstract][Full Text] [Related]
16. A generalized fuzzy clustering framework for incomplete data by integrating feature weighted and kernel learning.
Yang Y; Chen H; Wu H
PeerJ Comput Sci; 2023; 9():e1600. PubMed ID: 37869452
[TBL] [Abstract][Full Text] [Related]
17. Predicting Protein Function Using Multiple Kernels.
Yu G; Rangwala H; Domeniconi C; Zhang G; Zhang Z
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(1):219-33. PubMed ID: 26357091
[TBL] [Abstract][Full Text] [Related]
18. A ℓ
Cao P; Liu X; Zhang J; Li W; Zhao D; Huang M; Zaiane O
Comput Methods Programs Biomed; 2017 Mar; 140():211-231. PubMed ID: 28254078
[TBL] [Abstract][Full Text] [Related]
19. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
[TBL] [Abstract][Full Text] [Related]
20. Multiple kernel learning in the primal for multimodal Alzheimer's disease classification.
Liu F; Zhou L; Shen C; Yin J
IEEE J Biomed Health Inform; 2014 May; 18(3):984-90. PubMed ID: 24132030
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]