Linear discriminant analysis and discriminative log-linear modeling

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 2004, Pages 156-159

  Keysets, Daniel ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN MODELS; LINEAR DISCRIMINANT ANALYSIS (LDA); LINEAR TRANSFORMS; LOG-LINEAR MODELING;

ENTROPY; FEATURE EXTRACTION; GRAPH THEORY; MATHEMATICAL TRANSFORMATIONS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS; SET THEORY;

PATTERN RECOGNITION;

EID: 10044223103     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334033     Document Type: Conference Paper

References (7)

1. A.L. Berger, S.A. Della Pietra, and V.J. Della Pietra. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39-72, March 1996.
2. J.N. Darroch and D. Ratcliff. Generalized Iterative Scaling for Log-Linear Models. Annals of Mathematical Statistics, 43(5):1470-1480, 1972.
3. D. Keysers, F.J. Och, and H. Ney. Maximum Entropy and Gaussian Models for Image Object Recognition. In Pattern Recognition, 24th DAGM Symposium, Zürich, Switzerland, LNCS 2449, pp. 498-506, September 2002.
4. T. Jaakkola, M. Meila, and T. Jebara. Maximum Entropy Discrimination. In Adv. in Neural Inf. Proc. Systems 12, MIT Press, Cambridge, MA, pp. 470-476, 2000.
5. C.J. Merz, P.M. Murphy, and D.W. Aha. UCI Repository of Machine Learning Databases. Univ. California, Irvine, 1997. http://www.ics.uci.edu/~mlearn/ MLRepository.html.
6. D. Michie, D.J. Spiegelhalter, and C.C. Taylor, eds. Machine Learning, Neural and Statistical Classification. Ellis Horwood, 1994. Datasets: http://www.liacc.up.pt/ML/statlog/datasets.html.
7. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer, NY, 2001.