Quaternion adaptive approximation normalization graph guided implicit low rank for robust matrix completion

Key Points

• Robust matrix completion techniques utilizing quaternion methods demonstrate significant performance enhancement.
• Key improvements include up to a 25% increase in accuracy compared to conventional methods.
• Analysis employs a graph-guided framework with implicit normalization strategies to refine outcomes.
• These findings highlight the potential for advanced quaternion techniques, indicating a shift towards more effective matrix processing.