Random Projection
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10602-6_14
Reference75 articles.
1. Dimitris Achlioptas. “Database-friendly random projections”. In: Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems. 2001, pp. 274–281.
2. Dimitris Achlioptas. “Database-friendly random projections: Johnson-Lindenstrauss with binary coins”. In: Journal of computer and System Sciences 66.4 (2003), pp. 671–687.
3. Nir Ailon and Bernard Chazelle. “Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform”. In: Proceedings of the thirty-eighth annual ACM symposium on Theory of computing. 2006, pp. 557–563.
4. Mark A Aizerman. “Theoretical foundations of the potential function method in pattern recognition learning”. In: Automation and remote control 25 (1964), pp. 821–837.
5. Alexandr Andoni and Piotr Indyk. “Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions”. In: 2006 47th annual IEEE symposium on foundations of computer science (FOCS’06). IEEE. 2006, pp. 459–468.
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