Learning invariant and variant components of time-varying natural images
نویسندگان
چکیده
منابع مشابه
Learning sparse, overcomplete representations of time-varying natural images
I show how to adapt an overcomplete dictionary of spacetime functions so as to represent time-varying natural images with maximum sparsity. The basis functions are considered as part of a probabilistic model of image sequences, with a sparse prior imposed over the coefficients. Learning is accomplished by maximizing the log-likelihood of the model, using natural movies as training data. The bas...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2010
ISSN: 1534-7362
DOI: 10.1167/7.9.964