infomax (super) Search Results


infomax (super)  (InfoMax Inc)
90
InfoMax Inc infomax (super)
A Gaussian has zero excess kurtosis. Here as in Example 2 of the original paper . The four vertical lines at correspond to the relative sizes of the small box, the medium box, the large box, and a very large box corresponding to the maximal kurtosis case. Note that the medium and large box experiments have near zero excess kurtosis, i.e., kurtosis value matching that of a Gaussian . In addition, the pdfs of these sources are bimodal (see inset figures), ensuring that ICA algorithms designed for unimodal super-Gaussian distributions such as Infomax and <t>FastICA</t> with standard parameter settings, will likely fail. At the bottom of the figure are the ISI values (see Equation (2)) for the various algorithms at those four points (see for full list). Also note the best separation performance of Infomax and FastICA for the maximum kurtosis case, which corresponds to almost the lowest level of sparsity.
Infomax (Super), supplied by InfoMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/infomax (super)/product/InfoMax Inc
Average 90 stars, based on 1 article reviews
infomax (super) - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier
super-gaussian infomax  (InfoMax Inc)
90
InfoMax Inc super-gaussian infomax
A Gaussian has zero excess kurtosis. Here as in Example 2 of the original paper . The four vertical lines at correspond to the relative sizes of the small box, the medium box, the large box, and a very large box corresponding to the maximal kurtosis case. Note that the medium and large box experiments have near zero excess kurtosis, i.e., kurtosis value matching that of a Gaussian . In addition, the pdfs of these sources are bimodal (see inset figures), ensuring that ICA algorithms designed for unimodal super-Gaussian distributions such as Infomax and <t>FastICA</t> with standard parameter settings, will likely fail. At the bottom of the figure are the ISI values (see Equation (2)) for the various algorithms at those four points (see for full list). Also note the best separation performance of Infomax and FastICA for the maximum kurtosis case, which corresponds to almost the lowest level of sparsity.
Super Gaussian Infomax, supplied by InfoMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/super-gaussian infomax/product/InfoMax Inc
Average 90 stars, based on 1 article reviews
super-gaussian infomax - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier
fixed non-linearity for a super-gaussian distribution  (InfoMax Inc)
90
InfoMax Inc fixed non-linearity for a super-gaussian distribution
A Gaussian has zero excess kurtosis. Here as in Example 2 of the original paper . The four vertical lines at correspond to the relative sizes of the small box, the medium box, the large box, and a very large box corresponding to the maximal kurtosis case. Note that the medium and large box experiments have near zero excess kurtosis, i.e., kurtosis value matching that of a Gaussian . In addition, the pdfs of these sources are bimodal (see inset figures), ensuring that ICA algorithms designed for unimodal super-Gaussian distributions such as Infomax and <t>FastICA</t> with standard parameter settings, will likely fail. At the bottom of the figure are the ISI values (see Equation (2)) for the various algorithms at those four points (see for full list). Also note the best separation performance of Infomax and FastICA for the maximum kurtosis case, which corresponds to almost the lowest level of sparsity.
Fixed Non Linearity For A Super Gaussian Distribution, supplied by InfoMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/fixed non-linearity for a super-gaussian distribution/product/InfoMax Inc
Average 90 stars, based on 1 article reviews
fixed non-linearity for a super-gaussian distribution - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


A Gaussian has zero excess kurtosis. Here as in Example 2 of the original paper . The four vertical lines at correspond to the relative sizes of the small box, the medium box, the large box, and a very large box corresponding to the maximal kurtosis case. Note that the medium and large box experiments have near zero excess kurtosis, i.e., kurtosis value matching that of a Gaussian . In addition, the pdfs of these sources are bimodal (see inset figures), ensuring that ICA algorithms designed for unimodal super-Gaussian distributions such as Infomax and FastICA with standard parameter settings, will likely fail. At the bottom of the figure are the ISI values (see Equation (2)) for the various algorithms at those four points (see for full list). Also note the best separation performance of Infomax and FastICA for the maximum kurtosis case, which corresponds to almost the lowest level of sparsity.

Journal: PLoS ONE

Article Title: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence

doi: 10.1371/journal.pone.0073309

Figure Lengend Snippet: A Gaussian has zero excess kurtosis. Here as in Example 2 of the original paper . The four vertical lines at correspond to the relative sizes of the small box, the medium box, the large box, and a very large box corresponding to the maximal kurtosis case. Note that the medium and large box experiments have near zero excess kurtosis, i.e., kurtosis value matching that of a Gaussian . In addition, the pdfs of these sources are bimodal (see inset figures), ensuring that ICA algorithms designed for unimodal super-Gaussian distributions such as Infomax and FastICA with standard parameter settings, will likely fail. At the bottom of the figure are the ISI values (see Equation (2)) for the various algorithms at those four points (see for full list). Also note the best separation performance of Infomax and FastICA for the maximum kurtosis case, which corresponds to almost the lowest level of sparsity.

Article Snippet: Summary : FastICA, Infomax (super), and ICA-EBM perform well , , , , .

Techniques:

Source estimates for the four cases indicated in <xref ref-type= Figure 1 ." width="100%" height="100%">

Journal: PLoS ONE

Article Title: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence

doi: 10.1371/journal.pone.0073309

Figure Lengend Snippet: Source estimates for the four cases indicated in Figure 1 .

Article Snippet: Summary : FastICA, Infomax (super), and ICA-EBM perform well , , , , .

Techniques:

Tabulated results for the so-called <xref ref-type= [8] ICA “promotional material.”" width="100%" height="100%">

Journal: PLoS ONE

Article Title: Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence

doi: 10.1371/journal.pone.0073309

Figure Lengend Snippet: Tabulated results for the so-called [8] ICA “promotional material.”

Article Snippet: Summary : FastICA, Infomax (super), and ICA-EBM perform well , , , , .

Techniques: