Zobrazeno 1 - 6
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pro vyhledávání: '"Daniel Schupp"'
Autor:
Martin Eichenhofer, Daniel Huelsbusch, Patrick Striemann, Frank Walther, Daniel Schupp, Michael Niedermeier
Publikováno v:
Materials Testing. 60:801-808
The novel, additive manufacturing technique, continuous lattice fabrication, combines the advantages of continuous fiber-reinforcement with those of additive manufacturing. This enables the generation of fiber-reinforcement within a single layer and
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319596495
HAIS
HAIS
In this paper, an approach for probability-based class prediction is presented. This approach is based on a combination of a newly proposed Histogram Probability (HP) method and any classification algorithm (in this paper results for combination with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a879f40e97ec3192266c8b46294aa1f6
https://doi.org/10.1007/978-3-319-59650-1_25
https://doi.org/10.1007/978-3-319-59650-1_25
Publikováno v:
Proceedings in Adaptation, Learning and Optimization ISBN: 9783319283722
In this paper, two approaches for probability-based class prediction are presented. In the first approach, the output of Extreme Learning Machines algorithm is used as an input for Gaussian Mixture models. In this case, ELM performs as dimensionality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7680d93a6afaa06bb43e471ba7380cb2
https://doi.org/10.1007/978-3-319-28373-9_33
https://doi.org/10.1007/978-3-319-28373-9_33
Autor:
Ananya Sen Gupta, Daniel Schupp
Publikováno v:
ACSSC
We present a method of characterization of active sonar target response that makes use of physics-driven Gabor dictionaries. Key innovation is the combination of the useful characteristics of the Gabor wavelet (time/frequency localization) with an em
Publikováno v:
ACSSC
We address the long-standing challenge of sonar target identification against weak ground truths and interfering scatter components by harnessing robust topographic elements of target resonance profiles. Our goal is to achieve unknown target discover