问题传送门：https://leetcode.cn/problems/candy/description/

Recap of basic segmentation methods

• Thresholding
• K-means clustering
• Feature extraction and classification

More sophisticated segmentation methods

1. Region splitting and merging
2. Watershed segmentation
3. Maximally stable extremal regions
4. Mean-shifting algorithm
5. Superpixel segmentation
6. Conditional random field
7. Active contour segmentation
8. Level-set segmentation

How to evaluate segmentation methods

• Quantitative evaluation metrics
• Receiver operating characteristic

Supervised learning for classification

• Linear classification
• Support vector machines
• Multiclass classification
• Classification performance evaluation

Supervised learning for regression

• Linear regression
• Least-squares regression
• Regression performance evaluation

Pattern recognition concepts

• Definition and description of basic terminology
• Recap of feature extraction and representation

Supervised learning for classification

• Nearest class mean classification
• K-nearest neighbours classification
• Bayesian decision theory and classification
• Decision trees for classification
• Ensemble learning and random forests

问题传送门：https://leetcode.cn/problems/gas-station/description/