Detail publikace

Automatic synthesis of small AdaBoost Classifier in FPGA

Originální název

Automatic synthesis of small AdaBoost Classifier in FPGA

Anglický název

Automatic synthesis of small AdaBoost Classifier in FPGA

Jazyk

en

Originální abstrakt

Novel pre-processing units for AbaBoost classifiers are introduced which can improve performance and reduce power consumption in many image processing applications. An approach for automatic classifier synthesis to the FPGA is also described. The introduced classification architecture is intensively saving processing resources and very fast as well. Several optimization techniques that are used in the process of automatic synthesis are also shown.

Anglický abstrakt

Novel pre-processing units for AbaBoost classifiers are introduced which can improve performance and reduce power consumption in many image processing applications. An approach for automatic classifier synthesis to the FPGA is also described. The introduced classification architecture is intensively saving processing resources and very fast as well. Several optimization techniques that are used in the process of automatic synthesis are also shown.

BibTex


@inproceedings{BUT103475,
  author="Filip {Kadlček} and Otto {Fučík}",
  title="Automatic synthesis of small AdaBoost Classifier in FPGA",
  annote="Novel pre-processing units for AbaBoost classifiers are introduced which can
improve performance and reduce power consumption in many image processing
applications. An approach for automatic classifier synthesis to the FPGA is also
described. The introduced classification architecture is intensively saving
processing resources and very fast as well. Several optimization techniques that
are used in the process of automatic synthesis are also shown.",
  address="IEEE Computer Society",
  booktitle="IEEE Design and Diagnostics of Electronic Circuits and Systems DDECS'2013",
  chapter="103475",
  edition="NEUVEDEN",
  howpublished="online",
  institution="IEEE Computer Society",
  year="2013",
  month="april",
  pages="1--6",
  publisher="IEEE Computer Society",
  type="conference paper"
}