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After learning basis atoms, a signal can be decomposed into a collection of latent components, each is reconstructed by one basis atom and its corresponding time-shifts.
An example using the learning basis IRIS, which is a benchmark for classification problems, is presented showing the performances of this classifier.
Postgraduate training in family medicine has been happening on a part-time distance learning basis in SA since the 1970s, mostly in the private sector [ 8].
All pre-service interviewees were full-time on-campus students, while all upgrading interviewees were studying on a distance learning basis, reporting to the college for a few weeks to attend introduction to modules or to sit exams.
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Dictionary learning method provides an ambitious direction to learn basis atoms from data itself with the objective of finding the underlying structure embedded in signal.
SC learns basis functions that capture higher-level features in the data have given only unlabeled input data [36].
The graph labels represent the mean number of successfully learned basis elements (out of 50) over the ordered tests in groups of ten experiments.
As in [1], for each noise level, we sort the 50 trials according to the number of successfully learned basis elements and order them in groups of 10 experiments.
Learning a basis of Gabor functions takes an order of magnitude fewer computations than an equivalent non-parameterized basis.
To overcome the challenges and handle complex real world problems, this paper proposes a new optimum steepest descent based higher level learning radial basis function network (OSDHL-RBFN).
The group sparsity was further extended to structural sparsity for dictionary learning and basis representation.
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