Citation Relationships



Hasler S, Wersing H, Körner E (2007) Combining reconstruction and discrimination with class-specific sparse coding. Neural Comput 19:1897-918 [PubMed]

References and models cited by this paper

References and models that cite this paper

Duda RO, Hart PE, Stork DG (2000) Pattern Classification (2nd edition)

Eggert J, Wersing H, Korner E (2004) Transformation-invariant representation and NMF Proc IEEE Intl Joint Conf Neural Networks :2535-2539

Grimes DB, Rao RP (2005) Bilinear sparse coding for invariant vision. Neural Comput 17:47-73 [Journal] [PubMed]

Hoyer PO (2002) Non-negative sparse coding Proceedings of IEEE Workshop on Neural Networks for Signal Processing :557-565

Hoyer PO (2004) Non-negative matrix factorization with sparseness constraints J Mach Learn Res 5:1457-1469

Kwak N, Choi CH (2002) Input feature selection by mutual information based on Parzen window IEEE Trans Pattern Anal Mach Intell 24:1667-1671

Lee DD, Seung HS (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401:788-91 [Journal] [PubMed]

Logothetis NK, Sheinberg DL (1996) Visual object recognition. Annu Rev Neurosci 19:577-621 [Journal] [PubMed]

Mclachlan GJ, Peel D (2000) Finite mixture models

Nayar SK, Nene SA, Murase H (1996) Real-time 100 object recognition system Paper presented at the ARPA Image Understanding Workshop

Ng AY, Jordan MI (2002) On discriminative vs. generative classifiers: A comparison of logistic regression and naive Bayes Advances in neural information processing systems, Dietterich TG:Becker S:Ghahramani Z, ed.

Olshausen BA, Field DJ (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381:607-9 [Journal] [PubMed]

Raina R, Shen Y, Ng AY, Mccallum A (2003) Classification with hybrid generative-discriminative models Advances in neural information processing systems, Becker S:Thrun S:Obermayer K, ed.

Talukder A, Casasent D (1998) Classification and pose estimation of objects using nonlinear features Proc SPIE Appl Sci Comput Intel 3390:12-23

Turk M, Pentland A (1991) Eigen faces for recognition J Cogn Neurosci 3:71-86

Ullman S, Bart E (2006) Recognition invariance obtained by extended and invariant features. Neural Netw 17:833-48

Ulusoy I, Bishop CM (2005) Generative versus discriminative methods for object recognition Proc IEEE Intl Conf Computer Vision Pattern Rec :258-265

Wersing H, Körner E (2003) Learning optimized features for hierarchical models of invariant object recognition. Neural Comput 15:1559-88 [Journal] [PubMed]

(18 refs)