Laplacian-optimized diffusion for semi-supervised learning

DOI10.1016/j.cagd.2020.101864OpenAlexW3019397668MaRDI QIDQ2180649

Ameera Abdelaziz, Max Budninskiy, Mathieu Desbrun, Yiying Tong

Publication date: 14 May 2020

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2020.101864

zbMATH Keywords

high-dimensional geometrysemi-supervised learninggraph Laplacianbiconvex optimization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of graph theory (05C90) Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Related Items (1)

Mixed graph-FEM phase field modeling of fracture in plates and shells with nonlinearly elastic solids

Uses Software

• UCI-ml
• CVX
• TensorFlow
• OSQP
• COIL-20

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• OSQP: An Operator Splitting Solver for Quadratic Programs
• Semi-supervised learning on Riemannian manifolds
• Manifolds, tensor analysis, and applications.
• Mirror descent and nonlinear projected subgradient methods for convex optimization.
• Adaptive edge weighting for graph-based learning algorithms
• Introduction to Semi-Supervised Learning
• Parallel Transport Unfolding: A Connection-Based Manifold Learning Approach

This page was built for publication: Laplacian-optimized diffusion for semi-supervised learning