Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors


Abstract:

The present work studies an application of typical testors to reduce the space of characteristics used as inputs in statistical models to recognize a manuscript digit from its corresponding binary image. The fundamentals of typical testors are described, and the use of logistic and multilogistic regression models in the pbkp_redictions. Images from the public database of the Semeion Research Center of Sciences of Communication are used. Adequate pbkp_rediction results were achieved in a reduced space of characteristics.

Año de publicación:

2019

Keywords:

  • Typical testor
  • Number recognition algorithm
  • logistic regression
  • Stochastic algorithms

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Aprendizaje automático
  • Algoritmo
  • Ciencias de la computación

Áreas temáticas:

  • Ciencias de la computación
  • Economía
  • Física aplicada