Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation?
Ruibo WangWashim Uddin MondalMustafa A. KishkVaneet AggarwalMohamed-Slim AlouiniPublished in: IEEE Open J. Commun. Soc. (2024)
Keyphrases
- machine learning
- configuration space
- three dimensional
- simulation model
- machine learning methods
- computer vision
- geometric structure
- learning algorithm
- stochastic systems
- monte carlo
- manifold learning
- pattern recognition
- information extraction
- tangent space
- information geometry
- decision trees
- discrete event
- geodesic distance
- estimation algorithm
- high dimensional
- multiresolution
- data mining
- parameter estimation
- learning tasks
- monte carlo simulation
- reinforcement learning
- machine learning algorithms
- particle filter
- fisher information
- feature selection
- rough terrain
- semi supervised
- manifold alignment
- active learning