139 related articles for article (PubMed ID: 19798969)
1. [SVM-based spectral recognition of corn and weeds at seedling stage in fields].
Deng W; Zhang LD; He XK; Mueller J; Zeng AJ; Song JL; Liu YJ; Zhou JZ; Chen J; Wang X
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Jul; 29(7):1906-10. PubMed ID: 19798969
[TBL] [Abstract][Full Text] [Related]
2. [The estimation model of rice leaf area index using hyperspectral data based on support vector machine].
Yang XH; Huang JF; Wang XZ; Wang FM
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Aug; 28(8):1837-41. PubMed ID: 18975815
[TBL] [Abstract][Full Text] [Related]
3. Classification of colonic tissues using near-infrared Raman spectroscopy and support vector machines.
Widjaja E; Zheng W; Huang Z
Int J Oncol; 2008 Mar; 32(3):653-62. PubMed ID: 18292943
[TBL] [Abstract][Full Text] [Related]
4. [Identification methods of crop and weeds based on Vis/NIR spectroscopy and RBF-NN model].
Zhu DS; Pan JZ; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 May; 28(5):1102-6. PubMed ID: 18720810
[TBL] [Abstract][Full Text] [Related]
5. [Analysis of infrared spectroscopy of ginsengs by support vector machine and wavelet transform].
Jin XJ; Zhang Y; Xie YF; Cong Q; Zhao B
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Mar; 29(3):656-60. PubMed ID: 19455793
[TBL] [Abstract][Full Text] [Related]
6. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
Melgani F; Bazi Y
IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082
[TBL] [Abstract][Full Text] [Related]
7. [Stellar spectral recognition based on wavelet de-noising and SVM].
Xing F; Guo P
Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Jul; 26(7):1368-72. PubMed ID: 17020063
[TBL] [Abstract][Full Text] [Related]
8. [Analysis and estimation of the phosphorus content in cucumber leaf in greenhouse by spectroscopy].
Zhang XJ; Li MZ
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Oct; 28(10):2404-8. PubMed ID: 19123417
[TBL] [Abstract][Full Text] [Related]
9. Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait.
Kamruzzaman J; Begg RK
IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2479-90. PubMed ID: 17153205
[TBL] [Abstract][Full Text] [Related]
10. CARSVM: a class association rule-based classification framework and its application to gene expression data.
Kianmehr K; Alhajj R
Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
[TBL] [Abstract][Full Text] [Related]
11. Support vector machine-based classification scheme for myoelectric control applied to upper limb.
Oskoei MA; Hu H
IEEE Trans Biomed Eng; 2008 Aug; 55(8):1956-65. PubMed ID: 18632358
[TBL] [Abstract][Full Text] [Related]
12. [Identification of varieties of cashmere by Vis/NIR spectroscopy technology based on PCA-SVM].
Wu GF; He Y
Guang Pu Xue Yu Guang Pu Fen Xi; 2009 Jun; 29(6):1541-4. PubMed ID: 19810526
[TBL] [Abstract][Full Text] [Related]
13. Gabor-based kernel PCA with fractional power polynomial models for face recognition.
Liu C
IEEE Trans Pattern Anal Mach Intell; 2004 May; 26(5):572-81. PubMed ID: 15460279
[TBL] [Abstract][Full Text] [Related]
14. Feasibility study on identification of green, black and Oolong teas using near-infrared reflectance spectroscopy based on support vector machine (SVM).
Chen Q; Zhao J; Fang CH; Wang D
Spectrochim Acta A Mol Biomol Spectrosc; 2007 Mar; 66(3):568-74. PubMed ID: 16859975
[TBL] [Abstract][Full Text] [Related]
15. Qualitative identification of tea categories by near infrared spectroscopy and support vector machine.
Zhao J; Chen Q; Huang X; Fang CH
J Pharm Biomed Anal; 2006 Jun; 41(4):1198-204. PubMed ID: 16621404
[TBL] [Abstract][Full Text] [Related]
16. Radial basis function network-based transform for a nonlinear support vector machine as optimized by a particle swarm optimization algorithm with application to QSAR studies.
Tang LJ; Zhou YP; Jiang JH; Zou HY; Wu HL; Shen GL; Yu RQ
J Chem Inf Model; 2007; 47(4):1438-45. PubMed ID: 17555309
[TBL] [Abstract][Full Text] [Related]
17. A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data.
Begg R; Kamruzzaman J
J Biomech; 2005 Mar; 38(3):401-8. PubMed ID: 15652537
[TBL] [Abstract][Full Text] [Related]
18. Use of weighting algorithms to improve traditional support vector machine based classifications of reflectance data.
Qi B; Zhao C; Youn E; Nansen C
Opt Express; 2011 Dec; 19(27):26816-26. PubMed ID: 22274264
[TBL] [Abstract][Full Text] [Related]
19. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
20. [Rule induction algorithm for brain glioma using support vector machine].
Li G; Yang J; Wang J; Geng D
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Apr; 23(2):410-2. PubMed ID: 16706378
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
