Covariance Matrix
مصفوفة التباين المشترك
مصفوفة متماثلة تشفّر كيف يتغير كل زوج من المتغيرات معاً. العناصر القُطرية هي التباينات الفردية والعناصر خارج القُطر هي التباينات المشتركة.
A symmetric matrix encoding how each pair of variables co-varies. Diagonal entries are individual variances; off-diagonal entries are covariances.
Also translated asمصفوفة التغاير، مصفوفة التباين المشترك Σ
First appears in this corpus in: On Lines and Planes of Closest Fit to Systems of Points in Space (1901)
Appears in these papers
- Face Recognition Using Eigenfaces1991in the sky ✦
- 3D Gaussian Splatting for Real-Time Radiance Field Rendering2023in the sky ✦
- 3D Gaussian Splatting for Real-Time Radiance Field Rendering2023in the sky ✦
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution1995in the sky ✦
- Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015in the sky ✦
- Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015in the sky ✦
- Natural Gradient Works Efficiently in Learning1998in the sky ✦
- On Lines and Planes of Closest Fit to Systems of Points in Space1901in the sky ✦
- On Lines and Planes of Closest Fit to Systems of Points in Space1901in the sky ✦
- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning2021in the sky ✦