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- Document type:
- Masterarbeit
- Author(s):
- Keerthi Gaddameedi
- Title:
- Efficient and Scalable Kernel Matrix Approximation using Hierarchical Decomposition
- Supervisor:
- Hans-Joachim Bungartz
- Advisor:
- Felix Dietrich; Tobias Neckl; Severin Reiz; Daniel Lehmberg
- Year:
- 2022
- Quarter:
- 2. Quartal
- Year / month:
- 2022-06
- Month:
- Jun
- Language:
- en
- University:
- Technical University of Munich
- Faculty:
- TUM School of Computation, Information and Technology
- TUM Institution:
- Department of Computer Science
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