Associative Memories to Accelerate Approximate Nearest Neighbor Search

Nearest neighbor search is a very active field in machine learning. It appears in many application cases, including classification and object retrieval. In its naive implementation, the complexity of the search is linear in the product of the dimension and the cardinality of the collection of vector...

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Autors principals:	Vincent Gripon, Matthias Löwe, Franck Vermet
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2018-09-01
Col·lecció:	Applied Sciences
Matèries:	similarity search vector search associative memory exponential inequalities
Accés en línia:	http://www.mdpi.com/2076-3417/8/9/1676
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