arXiv (All)
open access
GPU-Accelerated Computation of Persistent Homology for Topological Analysis of Image Data
In recent years, persistent homology has seen rapid adoption in deep learning, yet its computation remains a major bottleneck in network training. This paper introduces TopoGPU, a GPU streaming pipeline that computes persistence diagrams of cubical complexes induced by 2D and 3D images. TopoGPU stre
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Supervised Protein Structure Classification Using Topological Persistence With DeltaFold#1107160
- WEECFP-SuRGE: A Position-Aware Substructure Encoding Method for Molecular Property Prediction#1242535
- Comparison of Image Processing Models in Quark Gluon Jet Classification#1014601
- CORDS: Continuous Representations of Discrete Structures#1034699
- Graph Identification of Proteins in Tomograms (GRIP-Tomo) 2.0: Topologically Aware Classification for Proteins#665560
Record · ID 1247886
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive