Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification.
Jiangtao XieFei LongJiaming LvQilong WangPeihua LiPublished in: CVPR (2022)
Keyphrases
- joint distribution
- marginal distributions
- image classification
- random variables
- classification accuracy
- feature vectors
- maximum entropy
- support vector
- supervised learning
- machine learning
- unsupervised learning
- information retrieval
- probability distribution
- conditional probabilities
- class labels
- visual features
- decision trees
- covariance matrix
- feature extraction
- regression model
- training samples
- feature space
- text classification
- higher order
- reinforcement learning
- pairwise