Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
International Journal of Computer Vision
A New Model of Computation for Learning Vision Modules from Examples
Journal of Mathematical Imaging and Vision
A Probabilistic Neural Network-Based Module for Recognition of Objects from their 3-D Images
International Journal of System Dynamics Applications
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The mind cannot make sense of the visual world out of raw image data alone. In an approach to visual processing known as learning from examples, computational neural networks and physiological studies suggest how neurons and machines adapt to novel images on the basis of past experience