Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Robert M. Nickel"'
Autor:
Dorothea Kolossa, Benedikt Bönninghoff, Kerstin Kucharczik, Steffen Hessler, Robert M. Nickel, Karin Pittner
Publikováno v:
Datenschutz und Datensicherheit - DuD. 43:691-699
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6e9d230b7b18d777372dedde430259e
https://doi.org/10.1007/s11623-019-1191-6
https://doi.org/10.1007/s11623-019-1191-6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
CLEF
We are addressing two fundamental problems in authorship verification (AV): Topic variability and miscalibration. Variations in the topic of two disputed texts are a major cause of error for most AV systems. In addition, it is observed that the under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fda7b4f4d7a8b55057b6fc781eb2c8d
https://doi.org/10.1007/978-3-030-85251-1_12
https://doi.org/10.1007/978-3-030-85251-1_12
Autor:
Richard J. Kozick, Robert M. Nickel, Sachin Shetty, Kevin D. Dahm, Ying Tang, Robi Polikar, Steven H. Chin, Ravi P. Ramachandran
Publikováno v:
2013 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef61e5d00c6e676cc57c73773d9f0768
https://doi.org/10.18260/1-2--19341
https://doi.org/10.18260/1-2--19341
Publikováno v:
COLING
Traditional computational authorship attribution describes a classification task in a closed-set scenario. Given a finite set of candidate authors and corresponding labeled texts, the objective is to determine which of the authors has written another
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1ce06f87cac80b3cd77e0b14458359
http://arxiv.org/abs/2005.13930
http://arxiv.org/abs/2005.13930
Publikováno v:
IEEE BigData
Authorship verification is the task of analyzing the linguistic patterns of two or more texts to determine whether they were written by the same author or not. The analysis is traditionally performed by experts who consider linguistic features, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55866ec5bdceef33416a65d8623a797c
https://doi.org/10.1109/bigdata47090.2019.9005650
https://doi.org/10.1109/bigdata47090.2019.9005650
Publikováno v:
ICASSP
Authorship verification tries to answer the question if two documents with unknown authors were written by the same author or not. A range of successful technical approaches has been proposed for this task, many of which are based on traditional ling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffc0d26cdbd47d9baecfe4a48163f3b7
https://doi.org/10.1109/icassp.2019.8683405
https://doi.org/10.1109/icassp.2019.8683405
Publikováno v:
ICASSP
Audio-visual speech recognition is a promising approach to tackling the problem of reduced recognition rates under adverse acoustic conditions. However, finding an optimal mechanism for combining multi-modal information remains a challenging task. Va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::774ab87c4dca1ddc840135d13aeb3b8b
https://doi.org/10.1109/icassp.2017.7953172
https://doi.org/10.1109/icassp.2017.7953172
Autor:
Robi Polikar, Ying Tang, Steven H. Chin, Ravi P. Ramachandran, Liang Hong, Robert M. Nickel, Kevin D. Dahm, Richard J. Kozick, Sachin Shetty
Publikováno v:
IEEE Circuits and Systems Magazine. 14:55-69
Vertical integration is a powerful curricular tool that allows students to better appreciate the interconnections among the concepts acquired and learned in different courses. It can be used to bring a modern topic at all levels of the undergraduate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a82e43087005f9293e0f36b48829d96
https://doi.org/10.1109/mcas.2014.2333622
https://doi.org/10.1109/mcas.2014.2333622
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 21:983-997
We present a new approach for corpus-based speech enhancement that significantly improves over a method published by Xiao and Nickel in 2010. Corpus-based enhancement systems do not merely filter an incoming noisy signal, but resynthesize its speech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1e49e29dbcbf6a06d11233aa27795bd
https://doi.org/10.1109/tasl.2013.2243434
https://doi.org/10.1109/tasl.2013.2243434
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc811c6fd323576dc52e1464dabb8d50
https://doi.org/10.21437/interspeech.2016-166
https://doi.org/10.21437/interspeech.2016-166