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Seijas, L.; Segura, E. "Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition" (2009) 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009. 5702 LNCS:840-847
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Abstract:

This work presents a pattern recognition system that is able to detect ambiguous patterns and explain its answers. The system consists of a set of parallel Support Vector Machine (SVM) classifiers, each one dedicated to a representative feature extracted from the input, followed by an analysing module based on a bayesian strategy in charge of defining the system answer. We apply the system to the recognition of handwritten numerals. Experiments were carried out on the MNIST database, which is generally accepted as one of the standards in most of the literature in the field. © 2009 Springer Berlin Heidelberg.

Registro:

Documento: Artículo
Título:Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition
Autor:Seijas, L.; Segura, E.
Ciudad:Munster
Filiación:Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón I, Buenos Aires, Argentina
Palabras clave:Ambiguous pattern; Answer explanation; Bayesian statistics; Pattern recognition; Support vector machine; Ambiguous pattern; Answer explanation; Bayesian; Bayesian statistics; Handwritten numeral; Handwritten numeral recognition; Module-based; Bayesian networks; Image analysis; Image retrieval; Support vector machines; Pattern recognition systems
Año:2009
Volumen:5702 LNCS
Página de inicio:840
Página de fin:847
DOI: http://dx.doi.org/10.1007/978-3-642-03767-2_102
Título revista:13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5702LNCS_n_p840_Seijas

Referencias:

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  • Oliveira, L., Sabourin, R., Support vector machines for handwritten numerical string recognition (2004) 9th IEEE International Workshop on Frontiers in Handwritten Recognition, pp. 39-44. , IEEE Computer Society, Washington
  • Seijas, L., Segura, E., Detection of ambiguous patterns in a SOM based recognition system: Application to handwritten numeral classification (2007) 6th International Workshop on Self-Organizing Maps. Bielefeld University, , Germany
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  • Wen, Y., Shi, P., A novel classifier for handwritten numeral recognition (2008) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, pp. 1321-1324. , IEEE Signal Processing Society, Las VegasA4 - University of Munster; International Association for Pattern Recognition; Olympus Soft Imaging Solutions GmbH; Philips

Citas:

---------- APA ----------
Seijas, L. & Segura, E. (2009) . Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition. 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009, 5702 LNCS, 840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102
---------- CHICAGO ----------
Seijas, L., Segura, E. "Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition" . 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 5702 LNCS (2009) : 840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102
---------- MLA ----------
Seijas, L., Segura, E. "Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition" . 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009, vol. 5702 LNCS, 2009, pp. 840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102
---------- VANCOUVER ----------
Seijas, L., Segura, E. Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition. Lect. Notes Comput. Sci. 2009;5702 LNCS:840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102