By using Gabor kernels based feature space, the abilities of ALRC against variations can be improved. Meanwhile, principal component analysis(PCA) is implemented in the feature extracted stage.

In most complex classification problems, many types of features have been captured or extracted. Feature fusion is used to combine features for better classification and to reduce data dimensionality.

Feature Request. GSPN layer introduced in this paper. Motivation. Just came across this paper at CVPR. According to Equation 5, it appears closely related to linear attention, but employs a highly ...

Approaches to tackle the wide and growing variety of highly persistent per- and polyfluoroalkyl substances (PFAS) are of pressing global need because of their detrimental human health effects, such as ...

The linear PLLA/PDLA blends were prepared by solution mixing method, and the melting behavior and structure evolution of neat PLLA and PLLA/PDLA specimens were investigated in this study. Results ...

Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support ... Engineering Toolkit for ... Issues Pull requests A stand-alone pure Java library for linear algebra and machine learning.