Fine: Information embedding for document classification

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 1861-1864

  Carter, Kevin M ^a   Raich, Raviv ^b   Hero III, Alfred O ^a  

^a The Department of Civil and Environmental Engineering   (United States)

^b Oregon State University   (United States)

Author keywords

Geodesies; Information geometry; Manifold learning; Riemannian manifold; Text classification

Indexed keywords

GEODESIES; INFORMATION GEOMETRY; MANIFOLD LEARNING; RIEMANNIAN MANIFOLD; TEXT CLASSIFICATION;

ACOUSTICS; FISHER INFORMATION MATRIX; IMAGE RETRIEVAL; SIGNAL PROCESSING; SPEECH; STATISTICAL METHODS; VECTORS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 51449084191     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4517996     Document Type: Conference Paper

References (7)

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4. K. M. Carter, R. Raich, and A. O. Hero, "Learning on statistical manifolds for clustering and visualization," in Proceedings of Forty-Fifth Annual Allerton Conference on Communication, Control, and Computing, September 2007, to appear. http://tbayes.eecs.umich.edu/kmcarter/ LearnStatMan.html.
5. J. Lafferty and G. Lebanon, "Diffusion kernels on statistical manifolds," Journal of Machine Learning Research, vol. 6, pp. 129-163, Jan 2005.
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