✨Functional Continuous Decomposition
📝 Summary:
Functional Continuous Decomposition FCD is a new framework for parametric, continuous optimization of time-series data. It extracts M modes capturing local and global patterns, improving feature extraction. FCD features enhance machine learning models, leading to faster convergence and higher acc...
🔹 Publication Date: Published on Feb 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.20857
• PDF: https://arxiv.org/pdf/2602.20857
• Project Page: https://arxiv.org/abs/2602.20857
• Github: https://github.com/Tima-a/fcd
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#FCD #TimeSeries #Optimization #FeatureExtraction #MachineLearning
📝 Summary:
Functional Continuous Decomposition FCD is a new framework for parametric, continuous optimization of time-series data. It extracts M modes capturing local and global patterns, improving feature extraction. FCD features enhance machine learning models, leading to faster convergence and higher acc...
🔹 Publication Date: Published on Feb 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.20857
• PDF: https://arxiv.org/pdf/2602.20857
• Project Page: https://arxiv.org/abs/2602.20857
• Github: https://github.com/Tima-a/fcd
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FCD #TimeSeries #Optimization #FeatureExtraction #MachineLearning