CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction

This work proposes a new computational framework for learning a structured generative model for real-world datasets. In particular, we propose to learn a Closed-loop Transcriptionbetween a multi-class, multi-dimensional data distribution and a Linear discriminative representation (CTRL) in the featu...

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Detalles Bibliográficos
Autores principales: Dai, Xili, Tong, Shengbang, Li, Mingyang, Wu, Ziyang, Psenka, Michael, Chan, Kwan Ho Ryan, Zhai, Pengyuan, Yu, Yaodong, Yuan, Xiaojun, Shum, Heung-Yeung, Ma, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031319/
https://www.ncbi.nlm.nih.gov/pubmed/35455120
http://dx.doi.org/10.3390/e24040456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031319/
https://www.ncbi.nlm.nih.gov/pubmed/35455120
http://dx.doi.org/10.3390/e24040456

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