In this thesis, I will delve into the realm of ID estimation, aiming to provide a comprehensive comparison of existing estimation methods. Through empirical evaluations and theoretical analyses, I will seek to elucidate the strengths and limitations of different approaches and provide insights into their applicability in real-world scenarios.
In this thesis, I will delve into the realm of ID estimation, aiming to provide a comprehensive comparison of existing estimation methods. Through empirical evaluations and theoretical analyses, I will seek to elucidate the strengths and limitations of different approaches and provide insights into their applicability in real-world scenarios.
A Comparison of Intrinsic Dimension Estimators
COSTA, AARON
2022/2023
Abstract
In this thesis, I will delve into the realm of ID estimation, aiming to provide a comprehensive comparison of existing estimation methods. Through empirical evaluations and theoretical analyses, I will seek to elucidate the strengths and limitations of different approaches and provide insights into their applicability in real-world scenarios.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.14240/146510