Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering.
Siheng ChenChaojing DuanYaoqing YangDuanshun LiChen FengDong TianPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- unsupervised learning
- deep learning
- deep architectures
- small world
- graph structure
- supervised learning
- fully connected
- directed graph
- deep belief networks
- random walk
- bayesian networks
- graph matching
- weighted graph
- object recognition
- dimensionality reduction
- topological information
- expectation maximization
- graph model
- directed acyclic graph
- inference process
- structured data
- bayesian inference
- probabilistic inference
- point cloud
- semi supervised
- machine learning
- belief nets
- graph representation
- spanning tree
- structured light
- graph theory
- conditional random fields
- text classification
- pattern recognition
- social networks
- learning algorithm