Nonlinear Principal Component Analysis 1.0
Nonlinear Principal Component Analysis : A simple and effective source code for Face Recognition Based on Nonlinear PCA.Nonlinear principal component analysis (NLPCA) is commonly seen as a nonlinear generalization of standard principal component analysis (PCA). It generalizes the principal components from straight lines to curves (nonlinear). Thus, the subspace in the original data space which is described by all nonlinear components is also curved. Nonlinear PCA can be achieved by using a neural network with an autoassociative architecture also known as autoencoder, replicator network, bottleneck or sandglass type network. Such autoassociative neural network is a multi-layer perceptron that performs an identity mapping, meaning that the output of the network is required to be identical to the input. However, in the middle of the network is a layer that works as a bottleneck in which a reduction of the dimension of the data is enforced. This bottleneck-layer provides the desired component values (scores). Nonlinear Principal Component Analysis is a simple algorithm that uses this nonlinear dimensionality reduction for face recognition. This approach does not require the detection of any reference point and it can be used for real-time applications.
Conclusion
To conclude Nonlinear Principal Component Analysis works on Windows operating system(s) and can be easily downloaded using the below download link according to Freeware license. Nonlinear Principal Component Analysis download file is only 565 KB in size.Nonlinear Principal Component Analysis was filed under the Science and Engineering category and was reviewed in softlookup.com and receive 5/5 Score.
Nonlinear Principal Component Analysis has been tested by our team against viruses, spyware, adware, trojan, backdoors and was found to be 100% clean. We will recheck Nonlinear Principal Component Analysis when updated to assure that it remains clean.
Nonlinear Principal Component Analysis user Review
Please review Nonlinear Principal Component Analysis application and submit your comments below. We will collect all comments in an effort to determine whether the Nonlinear Principal Component Analysis software is reliable, perform as expected and deliver the promised features and functionalities.Popularity 10/10 - Downloads - 119 - Score - 5/5
Softlookup.com 2023 - Privacy Policy
| Category: | Science and Engineering |
| Publisher: | Luigi Rosa |
| Last Updated: | 26/11/2023 |
| Requirements: | Not specified |
| License: | Freeware |
| Operating system: | Windows |
| Hits: | 511 |
| File size: | 565 KB |
| Price: | Not specified |
| Name: * |
E-Mail: * |
| Comment: * |
|