Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Seeger, Bernhard"'
Autor:
Younis, Sohaib, Seeger, Bernhard
Continual learning is a challenging problem in machine learning, especially for image classification tasks with imbalanced datasets. It becomes even more challenging when it involves learning new classes incrementally. One method for incremental clas
Externí odkaz:
http://arxiv.org/abs/2406.09052
The computation of the distance of two time series is time-consuming for any elastic distance function that accounts for misalignments. Among those functions, DTW is the most prominent. However, a recent extensive evaluation has shown that the move-s
Externí odkaz:
http://arxiv.org/abs/2301.01977
Computing an accurate mean of a set of time series is a critical task in applications like nearest-neighbor classification and clustering of time series. While there are many distance functions for time series, the most popular distance function used
Externí odkaz:
http://arxiv.org/abs/2209.14197
Autor:
Younis, Sohaib, Schmidt, Marco, Weiland, Claus, Dressler, Stefan, Seeger, Bernhard, Hickler, Thomas
As herbarium specimens are increasingly becoming digitized and accessible in online repositories, advanced computer vision techniques are being used to extract information from them. The presence of certain plant organs on herbarium sheets is useful
Externí odkaz:
http://arxiv.org/abs/2007.13106
Autor:
Gumpfer, Nils, Prim, Joshua, Keller, Till, Seeger, Bernhard, Guckert, Michael, Hannig, Jennifer
Publikováno v:
In Information Fusion November 2023 99
Autor:
Younis, Sohaib, Weiland, Claus, Hoehndorf, Robert, Dressler, Stefan, Hickler, Thomas, Seeger, Bernhard, Schmidt, Marco
Publikováno v:
Botany Letters (2018) 1-7
Herbaria worldwide are housing a treasure of 100s of millions of herbarium specimens, which are increasingly being digitized in recent years and thereby made more easily accessible to the scientific community. At the same time, deep learning algorith
Externí odkaz:
http://arxiv.org/abs/1803.07892
Publikováno v:
In Computers and Geosciences December 2021 157
Autor:
El-Shaikh, Alex1 (AUTHOR) elshaika@mathematik.uni-marburg.de, Seeger, Bernhard1 (AUTHOR)
Publikováno v:
Scientific Reports. 5/2/2023, Vol. 13 Issue 1, p1-12. 12p.
Autor:
Seeger, Bernhard.
Zugl.: Erfurt, Universiẗat, Diss., 2007.
Externí odkaz:
http://d-nb.info/987313959/04