[1] N. Kalidindi, A. Le, J. Picone, V.A. Rudis, "Scenic Beauty estimation", Research Paper, Mississippi State University, 1996.

[2] N. Kalidindi, A. Le, L. Zheng, H. Yaquin, J. Picone, and V.A. Rudis, "Scenic Beauty Estimation of Forestry Images," Proceedings of IEEE Southeastcon, Roanoke, Virginia, pp. 337 - 339, Blacksburg, Virginia, USA, April 1997.

[3] A. J. Bell and T. J. Sejnowski, "An Information-Maximization Approach to Blind Separation and Blind Deconvolution," Technical Report No. INC-9501, Institute for Neural Computing, University of California at San Diego, San Diego, California, USA, February 1995.

[4] A. Ganapathraju, " "Introduction To Support Vector Machines," http://www.cavs.msstate.edu/publications/seminars/isip_weekly/1998 /support_vectors/index.html, ISIP Spring'98 Seminar Series, Mississippi State University, April 23, 1998.

[5] T. Bell, Interval research Company, Source Separation and Learning non-orthogonal Bases for Signals Using Independent Component Analysis, Paper, John Hopkins University, 1998.

[6] C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition ," http://svm.research.bell-labs.com/SVMdoc.htm , Bell Laboratories, Lucent Technologies, Holmdel, New Jersey, USA, December 1998.

[7] V. Vapnik, The Nature of Statistical Learning Theory, Springer Verlag, New York, New York, USA, 1995

[1]	N. Kalidindi, A. Le, J. Picone, V.A. Rudis, "Scenic Beauty estimation", Research Paper, Mississippi State University, 1996.
[2]	N. Kalidindi, A. Le, L. Zheng, H. Yaquin, J. Picone, and V.A. Rudis, "Scenic Beauty Estimation of Forestry Images," Proceedings of IEEE Southeastcon, Roanoke, Virginia, pp. 337 - 339, Blacksburg, Virginia, USA, April 1997.
[3]	A. J. Bell and T. J. Sejnowski, "An Information-Maximization Approach to Blind Separation and Blind Deconvolution," Technical Report No. INC-9501, Institute for Neural Computing, University of California at San Diego, San Diego, California, USA, February 1995.
[4]	A. Ganapathraju, " "Introduction To Support Vector Machines," http://www.cavs.msstate.edu/publications/seminars/isip_weekly/1998 /support_vectors/index.html, ISIP Spring'98 Seminar Series, Mississippi State University, April 23, 1998.
[5]	T. Bell, Interval research Company, Source Separation and Learning non-orthogonal Bases for Signals Using Independent Component Analysis, Paper, John Hopkins University, 1998.
[6]	C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition ," http://svm.research.bell-labs.com/SVMdoc.htm , Bell Laboratories, Lucent Technologies, Holmdel, New Jersey, USA, December 1998.
[7]	V. Vapnik, The Nature of Statistical Learning Theory, Springer Verlag, New York, New York, USA, 1995