Scenic beauty estimation using independent component analysis and support vector machines

Conference Proceedings - IEEE SOUTHEASTCON

Volumn 1999-March, Issue , 1999, Pages 274-277

  Zhang, X ^a   Ramani, K ^a   Long, Z ^a   Zeng, Y ^a   Ganapathiraju, A ^a   Picone, J ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; NONLINEAR ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; DATABASE SYSTEMS; DECISION THEORY; FORESTRY; IMAGE ANALYSIS; NONLINEAR SYSTEMS; STATISTICAL METHODS;

AUTOMATIC CLASSIFICATION; CLASSIFICATION ALGORITHM; ESTIMATION PROBLEM; INDEPENDENT COMPONENTS ANALYSIS; NONLINEAR CLASSIFICATION; NONLINEAR TECHNIQUES; PRINCIPAL-COMPONENT ANALYSIS; SCENIC BEAUTY; SUBJECTIVE RATING; SUPPORT VECTORS MACHINE;

INDEPENDENT COMPONENT ANALYSIS; ALGORITHMS;

DECISION TREES; INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SCENIC BEAUTY ESTIMATION; SUPPORT VECTOR MACHINES;

EID: 0033336250     PISSN: 10910050     EISSN: 1558058X     Source Type: Conference Proceeding    
DOI: 10.1109/SECON.1999.766139     Document Type: Conference Paper

References (8)

1. N. Kalidindi, A. Le, L. Zheng, H. Yaquin, V. Rudis and J. Picone, "Scenic Beauty Estimate of Forestry Images, " Proceedings of the IEEE Southeastcon, pp. 337-339, Blacksburg, Virginia, USA, April 1997.
2. N. Kalidindi, "Scenica Beauty Estimation of Forestry Images, 1' http://www.isip.msstate.edit/publications/seminars/masters-oral/I997/usfs-imaging/index, html Master of Science Special Project Presentation, Mississippi State University, MS State, MS, USA, November 1997.
3. J. Ngan, "Information Theory Based Decision Trees for Data Classification, " http://www.isip.msstate.edii/publications/seminars/masters-oral/1998/decision-Tree-c4Zindex.html, Master of Science Special Project Presentation, Mississippi State University, MS State, MS, USA, December 1997.
4. K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, San Diego, CalifFUSA, 1990.
5. T Bell, ''Source Separation and Learning Non-orthogonal Bases for Signals Using Independent Component Analysis, " http://www.clsp.jhu.edu/ws98/presenta-Tions/workshop/bell/abstract.html, presented at the 1998 Summer Workshop on Language Engineering, Center for Language and Speech Processing, John Hopkins University, Baltimore, Maryland, USA, July 1998.
6. A. J. Bell and T. J. Sejnowski, "An Information- Maximization Approach to Blind Separation and Blind Deconvolution, " Technical Report No. INC-950I, Institute for Neural Computing, University of California at San Diego, San Diego, California, USA, February 1995.
7. V. Vapnik, The Nature of Statistical Learning Theory, Springer Verlag, New York, New York, USA, 1995.
8. C. J. C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition http://svm.research.bell-labs.com/SVMdocMmlyBellLaboratories, Lucent Technologies, Holmdel, New Jersey, USA, December 1998.