Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks
In: Pattern Recognition Applications and Methods : 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, Virtual Event, February 4–6, 2021 and February 3–5, 2022, Revised Selected Papers / De Marsico, Maria; Sanniti di Baja, Gabriella; Fred, Ana (Hrsg.). - 10th and 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2021 and ICPRAM 2022) ; Virtual Event, February 4–6, 2021 and February 3–5, 2022 - Cham: Springer, 2023 - (Lecture Notes in Computer Science ; 13822), S. 23 - 51
2023Buchaufsatz/Kapitel in TagungsbandClosed access
ElektrotechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel in Englisch:
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks
Autor*in:
Reimann, Jan Niclas
- Sonstiges
- korrespondierende*r Autor*in
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
Open Access?:
Closed access
Scopus ID
Sprache des Textes:
Englisch
Schlagwort, Thema:
Constrained learning ; Deep learning ; Dilated convolutions ; Generative networks