Work

Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization

Year: 2016

Type: conference-paper

Source: International Conference on Computational Linguistics

Authors: Hajime Senuma, Akiko Aizawa

Institution: The University of Tokyo

Language: English

Topic: Algorithms and Data Compression

Subfield: Theoretical Computer Science

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2577109687

FWCI:

Cites: 26

Cited by: 1

Related to: 10