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Principal Component Analysis (PCA) and Modular PCA (MPCA) are well known statistical methods for recognition of facial images.
The LASSO is a well known statistical method for simultaneously performing model estimation and variable selection.
Principal Components Analysis (PCA) is a well known statistical technique which has wide ranging applications.
The results presented in Table 2 quantify two well known statistical phenomena.
The verification process is based on well known statistical cross-validation techniques.
Functional surface coatings are among the most well known applications.
The most well known is Matignon's stability theorem [1].
The most well known is the "r K continuum".
Bolt is probably Puma's most well known sponsorship figure.
The most well known case of high-degree fragmentation is the production of electronic equipment.
Historically, the Yakuza of Japan, an organized crime syndicate, is the most well known for "pearling".
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