Open AccessDissertation
Face recognition using Hidden Markov Models
Johan Stephen Simeon Ballot
- 01 Mar 2005
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Citations
Face recognition: A literature survey
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References
An introduction to hidden Markov models
TL;DR: The purpose of this tutorial paper is to give an introduction to the theory of Markov models, and to illustrate how they have been applied to problems in speech recognition.
•Book
The scientist and engineer's guide to digital signal processing
Steven W. Smith
- 01 Jan 1997
TL;DR: Getting Started with DSPs 30: Complex Numbers 31: The Complex Fourier Transform 32: The Laplace Transform 33: The z-Transform Chapter 27 Data Compression / JPEG (Transform Compression)
Application of the Karhunen-Loeve procedure for the characterization of human faces
Michael Kirby,Lawrence Sirovich +1 more
TL;DR: The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion, which results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix.
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An introduction to hidden Markov models.
TL;DR: In this paper, the concept of hidden Markov models in computational biology is introduced and described using simple biological examples, requiring as little mathematical knowledge as possible, and an overview of their current applications are presented.
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