Self-Supervised learning based on discriminative nonlinear features and its applications for pattern classification

Keyphrases

• Learning-based 100%
• Nonlinear Features 100%
• Pattern Classification 100%
• Expectation Maximization 100%
• Self-supervised Learning 100%
• Image Classification 66%
• Synthetic Data 33%
• Curse of Dimensionality 33%
• Feature Dimension 33%
• Linear Discriminant 33%
• Search Space 33%
• Object Recognition 33%
• Nonlinear Kernels 33%
• Learning Techniques 33%
• Kernel Discriminant 33%
• Image Database 33%
• Image Object 33%
• Art Learning 33%
• Hand Posture Recognition 33%
• Classification Recognition 33%
• Fingertip Tracking 33%
• Kernel Algorithm 33%

Computer Science

• Pattern Classification 100%
• Image Classification 100%
• Self-Supervised Learning 100%
• Synthetic Data 50%
• Image Database 50%
• Learning Technique 50%
• Object Recognition 50%
• Search Space 50%
• Linear Discriminant 50%
• Database Data 50%
• Feature Dimension 50%