Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context

• A three-part network for semantic segmentation of unorganized point clouds is presented.
• The kNN algorithm is utilized to extract local features from the point features.
• The point, local, and global features are concatenated for ...

Semantic segmentation of sensed point cloud data plays a significant role in scene understanding and reconstruction, robot navigation, etc. This paper presents a kNN-based 3D semantic segmentation network, which is a structural model for directly ...

• A new method is proposed based on maximum relevance and maximum interaction.
• ...

Feature selection aims at selecting important features that can enhance learning performance in data mining, pattern recognition, and machine learning. Filter feature selection methods offer computational efficiency and feature ...

The concepts of feature relevance, redundancy, and complementarity are very important for identifying optimal feature subsets and designing effective feature evaluation criteria when developing information-theoretic feature selection ...