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[
Matlab]
tca1_0.tar.gz
... is a Matlab program that implements the tree-dependent
component analysis (TCA) algorithms that extends the independent
component analysis (ICA), where instead of looking for a linear transform
that makes the data components independent, we ...
Category:
AI-NN-PR Upload User:
kaiyuan808 Size:
222K
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[
Matlab]
kernel-ica1_0.tar.gz
The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function ...
Category:
matlab Upload User:
chenjia912 Size:
10K
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[
Matlab]
wideex3.rar
Monte Carlo simulations and statistical analysis with simulated wideband signals.
Category:
Algorithm Upload User:
yoyo5578 Size:
3K
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[
C/C++]
20023150021.rar
compiler tenets of lexical analysis, spent a lot of time series, but is still somewhat simple reference for beginners
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[
C/C++]
animal-0.15.0.tar.gz
Animal is AN IMAging Library written in C. Its simple API supports over 80 image formats, and is intended to make massive use of other image processing libraries. Animal aims at image analysis and recognition. It is mainly the C basis of the SIP toolbox.
Category:
GDI-Bitmap Upload User:
yhbwg88 Size:
442K
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[
Matlab]
Automatic_Fingerprint_Authentication_System.zip
... System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of ...
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[
Matlab]
2DLDA_PK_LDA_for_feature_extraction.zip
... are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption ...
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[
C/C++]
Cluster-Analysis.rar
At pattern recognition, in particular a number of samples required for classification, clustering analysis is a commonly used method, the procedure based on the smallest maximum distance of the cluster principle implementation on sample clustering
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