Learning domain invariant unseen features for generalized zero-shot classification.
Xiao LiMin FangHaikun LiJin-Qiao WuPublished in: Knowl. Based Syst. (2020)
Keyphrases
- feature vectors
- supervised learning
- classification accuracy
- prior knowledge
- learning process
- support vector machine svm
- feature space
- classification process
- training set
- supervised learning algorithms
- feature set
- machine learning
- learning models
- feature construction
- class labels
- svm classifier
- classification method
- extracted features
- invariant features
- feature extraction
- previously unseen
- classification models
- multi category
- incremental learning
- extracting features
- histogram intersection kernel
- learning algorithm
- knowledge acquisition
- training data
- reinforcement learning
- pattern recognition
- active learning
- knn
- support vector machine
- neural network
- bayes rule
- decision trees
- object recognition
- unsupervised learning
- image features
- image classification
- high dimensionality
- learning problems
- text classification
- online learning
- benchmark datasets
- machine learning algorithms