Generative adversarial network based on Poincaré distance similarity constraint: Focusing on overfitting problem caused by finite training data.
Jian WeiQinzhao WangZixu ZhaoPublished in: Appl. Soft Comput. (2024)
Keyphrases
- training data
- distance measure
- distance function
- euclidean distance
- decision trees
- distance metric
- generalization error
- finite dimensional
- similarity measure
- triangular inequality
- data sets
- discriminative methods
- dissimilarity measure
- distance computation
- test data
- distance measurement
- similarity measurement
- training set
- learning algorithm
- hamming distance
- labeled data
- avoid overfitting
- image similarity
- similarity function
- pearson correlation
- cross validation
- training examples
- generative model
- semi supervised learning
- learned from training data
- bhattacharyya distance
- nearest neighbor
- unseen data
- training samples
- structural similarity
- intra class
- training dataset
- protein structure alignment
- classification accuracy
- spatial distance
- similarity search
- semi supervised
- similarity metric
- noisy data
- naive bayes
- training process
- longest common subsequence
- support vector machine
- test set
- label noise
- hausdorff distance
- support vector
- linear constraints