iSEEK - Web

In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents. This is done by assuming that the subcomponents are non-Gaussian signals and that they are statistically independent from each other. ICA is a special case of blind source separation.A common example application is the "cocktail party problem ......

https://en.wikipedia.org/wiki/Independent_component_analysis

Average Rating (0 votes)

ICA on Images with Python - Open Source Automation

Also, by its nature, ICA extracts the independent components of images — which means that it will find the curves and edges within an image. For example, in facial recognition, ICA will identify the eyes, the nose, the mouth etc. as independent components. ICA can be implemented in several open source languages, including Python, R, and Scala....

theautomatic.net/2018/06/23/ica-on-images-with-python/

Average Rating (0 votes)

Back to search results

Total time to process: 1051ms - Cache load: 0ms.

Do you want to save this as a favorite page?

iSEEK provides users with a Favorites library that allows them easy access to their most-used websites from any computer. If you have an iSEEK account, the content you just selected can be added to your Favorites page to be revisited any time you want.

If you would like to join the iSEEK community, click the "Register" button below to create your free iSEEK account. The resource you have selected will be added to your new Favorites library after you sign in for the first time.

If you already have an iSEEK account, click the button below to sign in and add the resource to your Favorites library.