Neural Field Classifiers via Target Encoding and Classification Loss.
Xindi YangZeke XieXiong ZhouBoyu LiuBuhua LiuYi LiuHaoran WangYunfeng CaiMingming SunPublished in: CoRR (2024)
Keyphrases
- support vector
- classification models
- decision trees
- classification systems
- classification rate
- classification algorithm
- accurate classification
- classification method
- multiclass classification
- supervised classification
- classifier combination
- decision boundary
- svm classifier
- class labels
- machine learning algorithms
- classification process
- training samples
- support vector machine classifiers
- rule based classifier
- neural network
- support vector machine
- classification accuracy
- feature selection
- multiple classifiers
- pattern recognition
- machine learning
- discriminant functions
- k nearest neighbour
- improves the classification accuracy
- training set
- classification procedure
- multi category
- supervised learning
- support vector machine svm
- neural classifier
- optimum path forest
- nearest neighbor classifier
- binary classifiers
- feature extraction
- multi class
- ensemble classifier
- feature set
- machine learning methods
- knn
- training data
- network architecture
- accurate classifiers
- probabilistic classifiers
- associative classifiers
- higher classification accuracy
- imbalanced data sets
- classification decisions
- image classification
- text classification
- correctly classified
- combining classifiers
- multiple classifier systems
- individual classifiers
- bayesian classifier
- classifier ensemble
- sufficient training data
- final classification
- feature values
- majority voting
- fold cross validation