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Machine Learning in Computer Vision [electronic resource] / by N. Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang.

By: Contributor(s): Material type: TextTextSeries: Computational Imaging and Vision ; 29Publisher: Dordrecht : Springer Netherlands, 2005Description: XVI, 242 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781402032752
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.6 23
LOC classification:
  • T385
  • TA1637-1638
  • TK7882.P3
Online resources:
Contents:
Theory: Probabilistic Classifiers -- Theory: Generalization Bounds -- Theory: Semi-Supervised Learning -- Algorithm: Maximum Likelihood Minimum Entropy HMM -- Algorithm: Margin Distribution Optimization -- Algorithm: Learning the Structure of Bayesian Network Classifiers -- Application: Office Activity Recognition -- Application: Multimodal Event Detection -- Application: Facial Expression Recognition -- Application: Bayesian Network Classifiers for Face Detection.
In: Springer eBooks
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Holdings
Item type Current library Call number Status Date due Barcode
E-Book E-Book Central Library Available E-38411

Theory: Probabilistic Classifiers -- Theory: Generalization Bounds -- Theory: Semi-Supervised Learning -- Algorithm: Maximum Likelihood Minimum Entropy HMM -- Algorithm: Margin Distribution Optimization -- Algorithm: Learning the Structure of Bayesian Network Classifiers -- Application: Office Activity Recognition -- Application: Multimodal Event Detection -- Application: Facial Expression Recognition -- Application: Bayesian Network Classifiers for Face Detection.

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