KDD: A kernel density based descriptor for 3D point clouds.
Yuhe ZhangChunhui LiBao GuoChenhao GuoShunli ZhangPublished in: Pattern Recognit. (2021)
Keyphrases
- knowledge discovery in databases
- data mining
- kernel function
- knowledge discovery from databases
- kernel methods
- point cloud
- clustering algorithm
- reproducing kernel hilbert space
- knowledge discovery and data mining
- kdd process
- density based clustering
- clustering method
- action recognition
- keypoints
- outlier detection
- shape descriptors
- knowledge discovery
- kernel matrix
- feature representation
- local binary pattern
- data mining applications
- support vector
- object recognition
- feature space
- range data
- structured light
- depth map
- data analysis
- anomaly detection
- machine learning
- text mining
- data exploration
- kernel machines
- image classification
- arbitrary shape
- image descriptors
- visual features
- subspace clustering
- feature descriptors