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 (Eds.). - 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), pp. 23 - 51
2023book article/chapter in ProceedingsClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks
Author:
Reimann, Jan Niclas
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
Open Access?:
Closed access
Scopus ID
Language of text:
English
Keyword, Topic:
Constrained learning ; Deep learning ; Dilated convolutions ; Generative networks