Joint markov blankets in feature sets extracted from wavelet packet decompositions

HIGHLIGHTS

• who: Gert Van Dijck $^{star }$ and Marc M. Van Hulle from the (UNIVERSITY) have published the paper: Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions, in the Journal: Entropy 2011, 13, 1403-1424 of 12/07/2011
• what: The authors assess these redundancies in wavelet by means of the Markov blanket filtering theory. In Figure 2, the authors show a graphical representation of the different subspaces that are obtained in a wavelet packet decomposition. The authors show that joint Markov blankets are obtained from performing Markov blanket filtering iteratively.
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