Error-correcting ouput codes library

Journal of Machine Learning Research

Volumn 11, Issue , 2010, Pages 661-664

  Escalera, Sergio ^a   Pujol, Oriol ^a   Radeva, Petia ^a  

^a Barcelona Perception Computing Lab   (Spain)

Author keywords

Coding; Decoding; Error correcting output codes; Matlab; Multi class classification; Octave; Open source

Indexed keywords

BASE CLASSIFIERS; CODING; DECODING ERRORS; ERROR CORRECTING OUTPUT CODE; EUCLIDEAN; LAPLACIANS; MULTI-CLASS CATEGORIZATION; MULTI-CLASS CLASSIFICATION; OPEN SOURCES; STATE-OF-THE-ART CODING;

MATLAB;

DECODING;

EID: 77949498817     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. URL http://www.gnu.org/licences/.
2. E. Allwein, R. Schapire, and Y. Singer. Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 1:113-141, 2002.
3. T. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2:263-282, 1995.
4. S. Escalera, Oriol Pujol, and Petia Radeva. Boosted landmarks of contextual descriptors and Forest-ECOC: A novel framework to detect and classify objects in clutter scenes. Pattern Recognition Letters, 28(13):1759-1768, 2007.
5. S. Escalera, O. Pujol, and P. Radeva. On the decoding process in ternary error-correcting output codes. IEEE Transactions in Pattern Analysis and Machine Intelligence, 99, 2008.
6. S. Escalera, O. Pujol, and P. Radeva. Separability of ternary codes for sparse designs of errorcorrecting output codes. Pattern Recognition Letters, 30:285-297, 2009.
7. E. B. Kong and T. G. Dietterich. Error-correcting output coding corrects bias and variance. International Conference of Machine Learning, pages 313-321, 1995.
8. N. J. Nilsson. Learning Machines. McGraw-Hill, 1965.
9. A. Passerini, M. Pontil, and P. Frasconi. New results on error correcting output codes of kernel machines. IEEE Transactions on Neural Networks, 15(1):45-54, 2004.
10. O. Pujol, P. Radeva, , and J. Vitrià. Discriminant ECOC: A heuristic method for application dependent design of error correcting output codes. IEEE Transactions in Pattern Analysis and Machine Intelligence, 28:1001-1007, 2006.
11. O. Pujol, S. Escalera, and P. Radeva. An incremental node embedding technique for error-correcting output codes. Pattern Recognition, 4:713-725, 2008.
12. R. Rifkin and A. Klautau. In defense of one-vs-all classification. The Journal of Machine Learning Research, 5:101-141, 2004.