Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Mixtures of probabilistic principal component analyzers
Neural Computation
The Adaptive Subspace Map for Image Description and Image Database Retrieval
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Efficient parametric projection pursuit density estimation
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
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A model for probabilistic independent component subspace analysis is developed and applied to texture description. Experiments show it to perform comparably to a Gaussian model, and to be useful mainly for problems in which the detection of little occurring, high-frequency image elements is important.