Work

Efficient Convolutional Dictionary Learning When The Number Of Classes In The Dataset Increases

Year: 2024

Type: conference-paper

Source: International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

DOI: 10.1109/ispacs62486.2024.10869089

Authors: Takuma Kobayashi, Kanata Hayashi, Yoshimitsu Kuroki

Institution: National Institute of Technology, Kurume College

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Distributed video coding and deep learning using convolutional sparse dictionary generated with large scale datasets

OpenAlex ID: W4407362597

FWCI:

Cites: 4

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Related to: 10