airm | Pre-configured Riemannian metrics for SPD matrices |
airm_exp | Compute the AIRM Exponential |
airm_log | Compute the AIRM Logarithm |
airm_unvec | Compute the Inverse Vectorization (AIRM) |
airm_vec | Compute the AIRM Vectorization of Tangent Space |
bures_wasserstein | Pre-configured Riemannian metrics for SPD matrices |
bures_wasserstein_exp | Compute the Bures-Wasserstein Exponential |
bures_wasserstein_log | Compute the Bures-Wasserstein Logarithm |
bures_wasserstein_unvec | Compute the Bures-Wasserstein Inverse Vectorization |
bures_wasserstein_vec | Compute the Bures-Wasserstein Vectorization |
compute_frechet_mean | Compute the Frechet Mean |
CSample | CSample Class |
default_ref_pt | Default reference point |
dexp | Differential of Matrix Exponential Map |
dlog | Differential of Matrix Logarithm Map |
euclidean | Pre-configured Riemannian metrics for SPD matrices |
euclidean_exp | Compute the Euclidean Exponential |
euclidean_log | Compute the Euclidean Logarithm |
euclidean_unvec | Compute the Inverse Vectorization (Euclidean) |
euclidean_vec | Vectorize at Identity Matrix (Euclidean) |
half_underscore | Half-underscore operation for use in the log-Cholesky metric |
id_matr | Create an Identity Matrix |
log_cholesky | Pre-configured Riemannian metrics for SPD matrices |
log_cholesky_exp | Compute the Log-Cholesky Exponential |
log_cholesky_log | Compute the Log-Cholesky Logarithm |
log_cholesky_unvec | Compute the Log-Cholesky Inverse Vectorization |
log_cholesky_vec | Compute the Log-Cholesky Vectorization |
log_euclidean | Pre-configured Riemannian metrics for SPD matrices |
log_euclidean_exp | Compute the Log-Euclidean Exponential |
log_euclidean_log | Compute the Log-Euclidean Logarithm |
log_euclidean_unvec | Compute the Inverse Vectorization (Euclidean) |
log_euclidean_vec | Vectorize at Identity Matrix (Euclidean) |
metric | Metric Object Constructor |
metrics | Pre-configured Riemannian metrics for SPD matrices |
relocate | Relocate Tangent Representations to a New Reference Point |
rspdnorm | Generate Random Samples from a Riemannian Normal Distribution |
safe_logm | Wrapper for the matrix logarithm |
spd_isometry_from_identity | Reverse isometry from tangent space at identity to tangent space at P |
spd_isometry_to_identity | Isometry from tangent space at P to tangent space at identity |
TangentImageHandler | TangentImageHandler Class |
validate_conns | Validate Connections |
validate_exp_args | Validate arguments for Riemannian logarithms |
validate_log_args | Validate arguments for Riemannian logarithms |
validate_metric | Validate Metric |
validate_tan_imgs | Validate Tangent Images |
validate_unvec_args | Validate arguments for inverse vectorization |
validate_vec_args | Validate arguments for vectorization |
validate_vec_imgs | Validate Vector Images |
vec_at_id | Vectorize at Identity Matrix |