X_device = np.delete(X_device,[sum_ele<5000],axis=0) np.random.shuffle(X_device) X_device = X_device[:6000,:] #X_device = X_device - np.reshape(np.mean(X_device,axis ...

This is a brief summary of the functionality of the subspace dictionary learning github package. This package includes a complete implementation of the methods described in [todo: link arxiv], along ...