Package to extend collections of hierarchical data to organize data into nodes according to the hierarchy. The package supports unlimited starting nodes, and has been tested to 10 levels deep.

Abstract: Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis. VTLN produces ...

Hi, I am testing both original 3DGS and Hierarchial 3DGS on large scene dataset. I preprocess with colmap and try to train a single chunk with both hierarchial 3dgs and original 3dgs. However, after ...

Cancer research encompasses data across various scales, modalities, and resolutions, from screening and diagnostic imaging to digitized histopathology slides to various types of molecular data and ...

Calling for democratisation of the world order, Defence Minister Rajnath Singh Tuesday said India does not believe in a hierarchical world order and sought for the expansion of the United Nations ...

Abstract: The paper describes a novel approach to model any deterministic manufacturing system. A function block diagram type of model is proposed. A block can be a single machine or a factory. The ...

Tucker decomposition is the cornerstone of modern machine learning on tensorial data analysis, which have attracted considerable attention for multiway feature extraction, compressive sensing, and ...

ABSTRACT: Mathematical models in seismo-geochemical monitoring offer powerful tools for the study and exploration of complex dynamics associated with discharge of radon as the indicator of change of ...

TEM and HRTEM images of FeOOH precursor, SEM image and XRD pattern of the purchased NH-30 sample, SEM image of the hematite sample using less CTAB as soft templates, absorption spectra of RB solutions ...