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Statistical Learning Approaches with Application to Face Detection

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Advanced Studies in Biometrics

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3161))

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Abstract

We present a concise tutorial on statistical learning, the theoretical ground on which the learning from examples paradigm is based. We also discuss the problem of face detection as a case study illustrating the solutions proposed in this framework. Finally, we describe some new results we obtained by means of an object detection method based on statistical hypothesis tests which makes use of positive examples only.

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Franceschi, E., Odone, F., Verri, A. (2005). Statistical Learning Approaches with Application to Face Detection. In: Tistarelli, M., Bigun, J., Grosso, E. (eds) Advanced Studies in Biometrics. Lecture Notes in Computer Science, vol 3161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11493648_5

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  • DOI: https://doi.org/10.1007/11493648_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26204-6

  • Online ISBN: 978-3-540-28638-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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