Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification.
Jiangtao XieFei LongJiaming LvQilong WangPeihua LiPublished in: CoRR (2022)
Keyphrases
- joint distribution
- conditional probabilities
- classification accuracy
- maximum entropy
- random variables
- support vector
- image classification
- text classification
- decision trees
- training set
- feature vectors
- supervised learning
- conditional distribution
- marginal distributions
- class labels
- video data
- model selection
- video sequences
- feature extraction