Distinguishing the Rare Spectra with the Unbalanced Classification Method Based on Mutual Information

[1] Stark P B, Herron M M, Matteson A. Applied Spectroscopy, 1993, 47(11): 1820.

[2] Gulati R K, Gupta R, Gothoskar P. AJ, 1994, 426(1): 340.

[3] Bailer-Jones C A L, Irwin M, Hippel T. MNRAS, 1998, 298: 361.

[4] Hernandez R D, Barreto H P, Robles L A, et al. Experimental Astronomy, 2014, 38: 193.

[5] Wei P, Luo A L, Li Y B, et al. MNRAS, 2013, 431: 1800.

[6] Cai J H, Zhao X J, Sun S W, et al. RAA, 2013, 13(3): 334.

[7] Gray R O, Corbally C J. AJ, 2014, 147(80): 1.

[8] Bu Y D, Pan J C, Jiang B, et al. PASJ, 2013, 65: 81.

[9] Bu Y D, Chen F Q, Pan J C. New Astronomy, 2014, 28: 35.

[10] Bazarghan M. Astrophysics and Space Science, 2012, 337: 93.

[11] Dan D M, Hu Z Y, Zhao Y H. Spectroscopy and Specctral Analysis, 2003, 23(1): 182.

[12] Yang J F, Wu C F, Luo A L, et al. Pattern Recognition and Artificial Intelligence, 2006, 19(3): 368.

[13] Sun S W, Luo A L, Zhang J F. Astronomical Research and Technology, 2007, 4(3): 276.

[14] Liu R, Jin H M, Duan F Q. Spectroscopy and Specctral Analysis, 2010, 30(3): 838.

[15] Liu Z B, Pan G Z, Zhao W J. Journal of Electronics & Information Technology, 2013, 35(9): 2047.

[16] Liu Z B, Wang Z B, Zhao W J. Spectroscopy and Spectral Analysis, 2014, 34(1): 263.

[17] Liu Z B, Gao Y Y, Wang J Z. Spectroscopy and Spectral Analysis, 2015, 35(1): 263.

[18] Almeida J S, Prieto C A. AJ, 2013, 763: 1.