In recent articles, I have focused on posing and shooting angles in gravure—in other words, how to present the subject. This time, I would like to step back and consider a simple question. The pose, ...

Abstract: A novel direct method for electromagnetic scattering analysis is introduced by enhancing the principal component analysis (PCA) compression algorithm with the multilevel fast multipole ...

# 1. Leitura das camadas do clima atual (baseline, 1970–2000) e # projeções futuras (CMIP6, SSP585, 2061–2080). # 2. Recorte e máscara para os limites do Brasil. # 3. Amostragem de pixels e execução ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

Principal component analysis (PCA) was employed to examine the effect of nutritional and bioactive compounds of legume milk chocolate as well as the sensory to document the extend of variations and ...