Non-local manifold parzen windows

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages 115-122

  Bengio, Yoshua ^a   Larochelle, Hugo ^a   Vincent, Pascal ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRICES; CURSE OF DIMENSIONALITY; DENSITY ESTIMATOR; GAUSSIAN MIXTURE MODEL; LOCAL SHAPE; NON-PARAMETRIC; NON-PARAMETRIC MODEL; NONLOCAL; PARZEN WINDOWS; TANGENT PLANE; TRAINING DATA;

COVARIANCE MATRIX;

OBJECT RECOGNITION;

EID: 84864042939     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Bengio, Y., Delalleau, O., and Le Roux, N. (2005). The curse of dimensionality for local kernel machines. Technical Report 1258, Département d'informatique et recherche opérationnelle, Université de Montréal.
2. Bengio, Y. and Larochelle, H. (2005). Non-local manifold parzen windows. Technical report, Département d'informatique et recherche opérationnelle,Université deMontréal.
3. Bengio, Y. and Monperrus, M. (2005). Non-local manifold tangent learning. In Saul, L., Weiss, Y., and Bottou, L., editors, Advances in Neural Information Processing Systems 17. MIT Press.
4. Decoste, D. and Scholkopf, B. (2002). Training invariant support vector machines. Machine Learning, 46:161-190.
5. Goldberger, J., Roweis, S., Hinton, G., and Salakhutdinov, R. (2005). Neighbourhood component analysis. In Saul, L., Weiss, Y., and Bottou, L., editors, Advances in Neural Information Processing Systems 17. MIT Press.
6. Vincent, P. (2003). Modèles à Noyaux à Structure Locale. PhD thesis, Université de Montréal, Département d'informatique et recherche opérationnelle, Montreal, Qc., Canada.
7. Vincent, P. and Bengio, Y. (2003). Manifold parzen windows. In Becker, S., Thrun, S., and Obermayer, K., editors, Advances in Neural Information Processing Systems 15, Cambridge, MA. MIT Press.