Addressing the problems of Bayesian network classification of video using high-dimensional features

  title={Addressing the problems of Bayesian network classification of video using high-dimensional features},
  author={Ankush Mittal and Loong Fah Cheong},
  journal={IEEE Transactions on Knowledge and Data Engineering},
Bayesian theory is of great interest in pattern classification. We present an approach to aid in the effective application of Bayesian networks in tasks like video classification, where descriptors originate from varied sources and are large in number. In order to extend the application of conventional Bayesian theory to the case of continuous and nonparametric descriptor space, dimension partitioning into attributes by minimizing the discrete Bayes error is proposed. The partitioning output… CONTINUE READING
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Achieving Semantic Coupling in the Domain of High-Dimensional Video Indexing Application,

  • A. Mittal, L. -F. Cheong
  • Proc. SPIE Conf. Applications of Artificial…
  • 2001
1 Excerpt

How Good are SVMS?” Neural Networks

  • S. Raudys
  • vol. 13, pp. 17-19
  • 2000
1 Excerpt

The Connection between the BayesianRiskand theKolmogorovDistance andaModificationof It inRecognitionProblems

  • V. I. Smirnov, A. M. Tikheyeva
  • Eng . Cybernetics
  • 2000

and T

  • J. Weston, S. Mukherjee, O. Chapelle, M. Pontil, V. Vapnik
  • Poggio, “Feature Selection for SVMs,” Neural…
  • 2000


  • W. A. Khatib, Y. F. Day
  • Ghafoor, and P.B. Berra, “Semantic Modeling and…
  • 1999
1 Excerpt

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