Using zero-norm constraint for sparse probability density function estimation
A new sparse kernel probability density function (pdf) estimator based on zero-norm constraint is constructed using the classical Parzen window (PW) estimate as the target function. The so-called zero-norm of the parameters is used in order to achieve enhanced model sparsity, and it is suggested to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2012-11.
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| Subjects: | |
| Online Access: | Get fulltext |