Corrigendum to "LiDAR-based localization using universal encoding and memory-aware regression" Pattern Recognition Volume 128 (2022) 108685.
Shangshu YuCheng WangChenglu WenMing ChengMinghao LiuZhihong ZhangXin LiPublished in: Pattern Recognit. (2022)
Keyphrases
- pattern recognition
- regression model
- image analysis
- image processing
- regression forests
- pattern recognition problems
- machine learning
- memory space
- point cloud
- neural network
- memory requirements
- support vector
- limited memory
- memory usage
- memory size
- regression algorithm
- computer vision
- encoding scheme
- object localization
- dimensionality reduction
- model selection
- main memory
- support vector machine svm
- low memory
- aerial imagery
- fuzzy sets
- regression methods
- feature extraction
- high resolution
- regression problems
- learning machines
- gaussian processes
- support vector regression
- linear regression
- computing power
- rough sets
- operating system
- regression analysis
- signal processing
- localization algorithm
- lidar data
- binary trees
- polynomial regression
- pattern classification