Feature extraction for simple classification

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 1525-1528

  Stuhlsatz, André ^a   Lippel, Jens ^a   Zielke, Thomas ^a  

^a UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFIER DESIGN; COMPLEX PATTERN; DATA DOMAINS; DATA PREPROCESSING; DOMAIN SPECIFIC; EXPERT KNOWLEDGE; FEATURE SPACE; FISHER CRITERION; HIGH-DIMENSIONAL; LINEAR DISCRIMINANTS; NONLINEAR DISCRIMINANT ANALYSIS; NONLINEAR FEATURES; RAW MEASUREMENTS; RECOGNITION RATES; RECOGNITION SYSTEMS;

DISCRIMINANT ANALYSIS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 78149491860     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.377     Document Type: Conference Paper

References (6)

1. D. H. Ackley, G. E. Hinton, and T. J. Sejnowski. A learning algorithm for boltzmann machines. Cognitive Science, 9:147-169, 1985.
2. G. E. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14(8):1771-1800, 2002.
3. G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. SCIENCE, 313:504-507, 2006.
4. Y. LeCun and C. Cortes. The mnist database of handwritten digits; http://yann.lecun.com/exdb/mnist.
5. H. Osman and M. M. Fahmy. On the discriminatory power of adaptive feed-forward layered networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16:837-842, 1994.
6. M. Welling, M. Rosen-Zvi, and G. Hinton. Exponential family harmoniums with an application to information retrieval. NIPS, 17:1481-1488, 2005.