[{"date_created":"2019-07-12T05:29:05Z","department":[{"_id":"54"}],"oa":"1","type":"journal_article","citation":{"ama":"Jacob F, Haeb-Umbach R. Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. <i>ArXiv e-prints</i>. 2015.","bibtex":"@article{Jacob_Haeb-Umbach_2015, title={Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network}, journal={ArXiv e-prints}, author={Jacob, Florian and Haeb-Umbach, Reinhold}, year={2015} }","mla":"Jacob, Florian, and Reinhold Haeb-Umbach. “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network.” <i>ArXiv E-Prints</i>, 2015.","chicago":"Jacob, Florian, and Reinhold Haeb-Umbach. “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network.” <i>ArXiv E-Prints</i>, 2015.","short":"F. Jacob, R. Haeb-Umbach, ArXiv E-Prints (2015).","apa":"Jacob, F., &#38; Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. <i>ArXiv E-Prints</i>.","ieee":"F. Jacob and R. Haeb-Umbach, “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network,” <i>ArXiv e-prints</i>, 2015."},"publication":"ArXiv e-prints","abstract":[{"text":"Joint audio-visual speaker tracking requires that the locations of microphones and cameras are known and that they are given in a common coordinate system. Sensor self-localization algorithms, however, are usually separately developed for either the acoustic or the visual modality and return their positions in a modality specific coordinate system, often with an unknown rotation, scaling and translation between the two. In this paper we propose two techniques to determine the positions of acoustic sensors in a common coordinate system, based on audio-visual correlates, i.e., events that are localized by both, microphones and cameras separately. The first approach maps the output of an acoustic self-calibration algorithm by estimating rotation, scale and translation to the visual coordinate system, while the second solves a joint system of equations with acoustic and visual directions of arrival as input. The evaluation of the two strategies reveals that joint calibration outperforms the mapping approach and achieves an overall calibration error of 0.20m even in reverberant environments.","lang":"eng"}],"_id":"11830","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/JaHa2015.pdf"}],"user_id":"44006","author":[{"full_name":"Jacob, Florian","first_name":"Florian","last_name":"Jacob"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"status":"public","title":"Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network","year":"2015","date_updated":"2022-01-06T06:51:11Z"},{"main_file_link":[{"url":"http://store.elsevier.com/Robust-Automatic-Speech-Recognition/Jinyu-Li/isbn-9780128023983/","open_access":"1"}],"publisher":"Elsevier","_id":"11868","language":[{"iso":"eng"}],"user_id":"44006","status":"public","year":"2015","title":"Robust Automatic Speech Recognition","author":[{"last_name":"Li","first_name":"Jinyu","full_name":"Li, Jinyu"},{"full_name":"Deng, Li","first_name":"Li","last_name":"Deng"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"},{"last_name":"Gong","first_name":"Y.","full_name":"Gong, Y."}],"date_updated":"2022-01-06T06:51:11Z","date_created":"2019-07-12T05:29:49Z","type":"book","department":[{"_id":"54"}],"oa":"1","citation":{"mla":"Li, Jinyu, et al. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","bibtex":"@book{Li_Deng_Haeb-Umbach_Gong_2015, title={Robust Automatic Speech Recognition}, publisher={Elsevier}, author={Li, Jinyu and Deng, Li and Haeb-Umbach, Reinhold and Gong, Y.}, year={2015} }","ama":"Li J, Deng L, Haeb-Umbach R, Gong Y. <i>Robust Automatic Speech Recognition</i>. Elsevier; 2015.","ieee":"J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","apa":"Li, J., Deng, L., Haeb-Umbach, R., &#38; Gong, Y. (2015). <i>Robust Automatic Speech Recognition</i>. Elsevier.","short":"J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015.","chicago":"Li, Jinyu, Li Deng, Reinhold Haeb-Umbach, and Y. Gong. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015."},"related_material":{"link":[{"description":"Sample-Chapter","url":"https://groups.uni-paderborn.de/nt/pubs/2015/RASR_Chap5.pdf","relation":"supplementary_material"},{"url":"http://store.elsevier.com/9780128023983","relation":"supplementary_material","description":"Store"}]}},{"author":[{"full_name":"Marchi, Erik","first_name":"Erik","last_name":"Marchi"},{"first_name":"Bjoern","last_name":"Schuller","full_name":"Schuller, Bjoern"},{"last_name":"Baron-Cohen","first_name":"Simon","full_name":"Baron-Cohen, Simon"},{"full_name":"Golan, Ofer","last_name":"Golan","first_name":"Ofer"},{"last_name":"Boelte","first_name":"Sven","full_name":"Boelte, Sven"},{"full_name":"Arora, Prerna","last_name":"Arora","first_name":"Prerna"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"title":"Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages","year":"2015","status":"public","date_updated":"2022-01-06T06:51:11Z","_id":"11875","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/MaScBaOfSvPrHa.pdf"}],"user_id":"44006","citation":{"mla":"Marchi, Erik, et al. “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages.” <i>INTERSPEECH 2015</i>, 2015.","bibtex":"@inproceedings{Marchi_Schuller_Baron-Cohen_Golan_Boelte_Arora_Haeb-Umbach_2015, title={Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages}, booktitle={INTERSPEECH 2015}, author={Marchi, Erik and Schuller, Bjoern and Baron-Cohen, Simon and Golan, Ofer and Boelte, Sven and Arora, Prerna and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Marchi E, Schuller B, Baron-Cohen S, et al. Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In: <i>INTERSPEECH 2015</i>. ; 2015.","ieee":"E. Marchi <i>et al.</i>, “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages,” in <i>INTERSPEECH 2015</i>, 2015.","apa":"Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., &#38; Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In <i>INTERSPEECH 2015</i>.","short":"E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Boelte, P. Arora, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.","chicago":"Marchi, Erik, Bjoern Schuller, Simon Baron-Cohen, Ofer Golan, Sven Boelte, Prerna Arora, and Reinhold Haeb-Umbach. “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages.” In <i>INTERSPEECH 2015</i>, 2015."},"publication":"INTERSPEECH 2015","abstract":[{"text":"Only a few studies exist on automatic emotion analysis of speech from children with Autism Spectrum Conditions (ASC). Out of these, some preliminary studies have recently focused on comparing the relevance of selected prosodic features against large sets of acoustic, spectral, and cepstral features; however, no study so far provided a comparison of performances across different languages. The present contribution aims to fill this white spot in the literature and provide insight by extensive evaluations carried out on three databases of prompted phrases collected in English, Swedish, and Hebrew, inducing nine emotion categories embedded in short-stories. The datasets contain speech of children with ASC and typically developing children under the same conditions. We evaluate automatic diagnosis and recognition of emotions in atypical childrens voice over the nine categories including binary valence/arousal discrimination.","lang":"eng"}],"date_created":"2019-07-12T05:29:57Z","department":[{"_id":"54"}],"oa":"1","type":"conference"},{"related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"abstract":[{"lang":"eng","text":"In this paper we present a source counting algorithm to determine the number of speakers in a speech mixture. In our proposed method, we model the histogram of estimated directions of arrival with a nonparametric Bayesian infinite Gaussian mixture model. As an alternative to classical model selection criteria and to avoid specifying the maximum number of mixture components in advance, a Dirichlet process prior is employed over the mixture components. This allows to automatically determine the optimal number of mixture components that most probably model the observations. We demonstrate by experiments that this model outperforms a parametric approach using a finite Gaussian mixture model with a Dirichlet distribution prior over the mixture weights."}],"citation":{"short":"O. Walter, L. Drude, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.","chicago":"Walter, Oliver, Lukas Drude, and Reinhold Haeb-Umbach. “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an Infinite Gaussian Mixture Model.” In <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","ieee":"O. Walter, L. Drude, and R. Haeb-Umbach, “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model,” in <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","apa":"Walter, O., Drude, L., &#38; Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>.","bibtex":"@inproceedings{Walter_Drude_Haeb-Umbach_2015, title={Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model}, booktitle={40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)}, author={Walter, Oliver and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Walter O, Drude L, Haeb-Umbach R. Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In: <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>. ; 2015.","mla":"Walter, Oliver, et al. “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an Infinite Gaussian Mixture Model.” <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015."},"publication":"40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)","oa":"1","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:30:47Z","date_updated":"2022-01-06T06:51:12Z","author":[{"full_name":"Walter, Oliver","last_name":"Walter","first_name":"Oliver"},{"full_name":"Drude, Lukas","last_name":"Drude","first_name":"Lukas","id":"11213"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"}],"title":"Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model","year":"2015","status":"public","user_id":"44006","language":[{"iso":"eng"}],"_id":"11919","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15.pdf","open_access":"1"}]},{"author":[{"first_name":"Oliver","last_name":"Walter","full_name":"Walter, Oliver"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"},{"full_name":"Mokbel, Bassam","first_name":"Bassam","last_name":"Mokbel"},{"full_name":"Paassen, Benjamin","last_name":"Paassen","first_name":"Benjamin"},{"first_name":"Barbara","last_name":"Hammer","full_name":"Hammer, Barbara"}],"title":"Autonomous Learning of Representations","status":"public","year":"2015","date_updated":"2022-01-06T06:51:12Z","_id":"11922","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaMoPaHa15.pdf"}],"page":"1-13","user_id":"44006","doi":"http://dx.doi.org/10.1007/s13218-015-0372-1","citation":{"bibtex":"@article{Walter_Haeb-Umbach_Mokbel_Paassen_Hammer_2015, title={Autonomous Learning of Representations}, DOI={<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>}, journal={KI - Kuenstliche Intelligenz}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Mokbel, Bassam and Paassen, Benjamin and Hammer, Barbara}, year={2015}, pages={1–13} }","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paassen, and Barbara Hammer. “Autonomous Learning of Representations.” <i>KI - Kuenstliche Intelligenz</i>, 2015, 1–13. <a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>.","short":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.","ama":"Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. <i>KI - Kuenstliche Intelligenz</i>. 2015:1-13. doi:<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>","ieee":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, and B. Hammer, “Autonomous Learning of Representations,” <i>KI - Kuenstliche Intelligenz</i>, pp. 1–13, 2015.","apa":"Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., &#38; Hammer, B. (2015). Autonomous Learning of Representations. <i>KI - Kuenstliche Intelligenz</i>, 1–13. <a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>","mla":"Walter, Oliver, et al. “Autonomous Learning of Representations.” <i>KI - Kuenstliche Intelligenz</i>, 2015, pp. 1–13, doi:<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>."},"publication":"KI - Kuenstliche Intelligenz","abstract":[{"text":"Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning technology can efficiently learn based thereon and generalize to novel data. While classical approaches often rely on a hand coded data representation, the topic of autonomous representation or feature learning plays a major role in modern learning architectures. The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two recent examples: autonomous metric learning for sequences, and autonomous learning of a deep representation for spoken language, respectively.","lang":"eng"}],"date_created":"2019-07-12T05:30:51Z","department":[{"_id":"54"}],"oa":"1","type":"journal_article","keyword":["Representation learning","Metric learning","Deep representation","Spoken language"]},{"abstract":[{"lang":"eng","text":"In this paper we show that recently developed algorithms for unsupervised word segmentation can be a valuable tool for the documentation of endangered languages. We applied an unsupervised word segmentation algorithm based on a nested Pitman-Yor language model to two austronesian languages, Wooi and Waima'a. The algorithm was then modified and parameterized to cater the needs of linguists for high precision of lexical discovery: We obtained a lexicon precision of of 69.2\\% and 67.5\\% for Wooi and Waima'a, respectively, if single-letter words and words found less than three times were discarded. A comparison with an English word segmentation task showed comparable performance, verifying that the assumptions underlying the Pitman-Yor language model, the universality of Zipf's law and the power of n-gram structures, do also hold for languages as exotic as Wooi and Waima'a."}],"citation":{"ama":"Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>.; 2015.","bibtex":"@book{Walter_Haeb-Umbach_Strunk_P. Himmelmann_2015, title={Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Strunk, Jan and P. Himmelmann, Nikolaus }, year={2015} }","mla":"Walter, Oliver, et al. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>. 2015.","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Jan Strunk, and Nikolaus  P. Himmelmann. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>, 2015.","short":"O. Walter, R. Haeb-Umbach, J. Strunk, N. P. Himmelmann, Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01), 2015.","apa":"Walter, O., Haeb-Umbach, R., Strunk, J., &#38; P. Himmelmann, N. (2015). <i>Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>.","ieee":"O. Walter, R. Haeb-Umbach, J. Strunk, and N. P. Himmelmann, <i>Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>. 2015."},"type":"report","oa":"1","department":[{"_id":"54"}],"date_created":"2019-07-12T05:30:52Z","date_updated":"2022-01-06T06:51:12Z","status":"public","title":"Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)","year":"2015","author":[{"full_name":"Walter, Oliver","first_name":"Oliver","last_name":"Walter"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"},{"last_name":"Strunk","first_name":"Jan","full_name":"Strunk, Jan"},{"full_name":"P. Himmelmann, Nikolaus ","first_name":"Nikolaus ","last_name":"P. Himmelmann"}],"user_id":"44006","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaStHi.pdf","open_access":"1"}],"_id":"11923","language":[{"iso":"eng"}]},{"doi":"10.1109/infcomw.2015.7179448","user_id":"49154","language":[{"iso":"eng"}],"_id":"11969","date_updated":"2022-01-06T06:51:14Z","publication_status":"published","author":[{"first_name":"Onur","last_name":"Altintas","full_name":"Altintas, Onur"},{"first_name":"Falko","last_name":"Dressler","full_name":"Dressler, Falko"},{"first_name":"Florian","last_name":"Hagenauer","full_name":"Hagenauer, Florian"},{"full_name":"Matsumoto, Makiko","first_name":"Makiko","last_name":"Matsumoto"},{"full_name":"Sepulcre, Miguel","last_name":"Sepulcre","first_name":"Miguel"},{"full_name":"Sommer, Christoph","first_name":"Christoph","last_name":"Sommer","orcid":"0000-0002-4336-7350","id":"49154"}],"publication_identifier":{"isbn":["9781467371315"]},"status":"public","title":"Making cars a main ICT resource in smart cities","year":"2015","department":[{"_id":"589"}],"type":"conference","date_created":"2019-07-18T09:46:00Z","citation":{"chicago":"Altintas, Onur, Falko Dressler, Florian Hagenauer, Makiko Matsumoto, Miguel Sepulcre, and Christoph Sommer. “Making Cars a Main ICT Resource in Smart Cities.” In <i>2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>, 2015. <a href=\"https://doi.org/10.1109/infcomw.2015.7179448\">https://doi.org/10.1109/infcomw.2015.7179448</a>.","ama":"Altintas O, Dressler F, Hagenauer F, Matsumoto M, Sepulcre M, Sommer C. Making cars a main ICT resource in smart cities. In: <i>2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>. ; 2015. doi:<a href=\"https://doi.org/10.1109/infcomw.2015.7179448\">10.1109/infcomw.2015.7179448</a>","short":"O. Altintas, F. Dressler, F. Hagenauer, M. Matsumoto, M. Sepulcre, C. Sommer, in: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2015.","bibtex":"@inproceedings{Altintas_Dressler_Hagenauer_Matsumoto_Sepulcre_Sommer_2015, title={Making cars a main ICT resource in smart cities}, DOI={<a href=\"https://doi.org/10.1109/infcomw.2015.7179448\">10.1109/infcomw.2015.7179448</a>}, booktitle={2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}, author={Altintas, Onur and Dressler, Falko and Hagenauer, Florian and Matsumoto, Makiko and Sepulcre, Miguel and Sommer, Christoph}, year={2015} }","apa":"Altintas, O., Dressler, F., Hagenauer, F., Matsumoto, M., Sepulcre, M., &#38; Sommer, C. (2015). Making cars a main ICT resource in smart cities. In <i>2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>. <a href=\"https://doi.org/10.1109/infcomw.2015.7179448\">https://doi.org/10.1109/infcomw.2015.7179448</a>","mla":"Altintas, Onur, et al. “Making Cars a Main ICT Resource in Smart Cities.” <i>2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>, 2015, doi:<a href=\"https://doi.org/10.1109/infcomw.2015.7179448\">10.1109/infcomw.2015.7179448</a>.","ieee":"O. Altintas, F. Dressler, F. Hagenauer, M. Matsumoto, M. Sepulcre, and C. Sommer, “Making cars a main ICT resource in smart cities,” in <i>2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)</i>, 2015."},"publication":"2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"},{"publication":"ACM SIGMOBILE Mobile Computing and Communications Review","citation":{"chicago":"Bloessl, Bastian, Andre Puschmann, Christoph Sommer, and Falko Dressler. “Timings Matter.” <i>ACM SIGMOBILE Mobile Computing and Communications Review</i>, 2015, 81–90. <a href=\"https://doi.org/10.1145/2721896.2721913\">https://doi.org/10.1145/2721896.2721913</a>.","short":"B. Bloessl, A. Puschmann, C. Sommer, F. Dressler, ACM SIGMOBILE Mobile Computing and Communications Review (2015) 81–90.","apa":"Bloessl, B., Puschmann, A., Sommer, C., &#38; Dressler, F. (2015). Timings Matter. <i>ACM SIGMOBILE Mobile Computing and Communications Review</i>, 81–90. <a href=\"https://doi.org/10.1145/2721896.2721913\">https://doi.org/10.1145/2721896.2721913</a>","ieee":"B. Bloessl, A. Puschmann, C. Sommer, and F. Dressler, “Timings Matter,” <i>ACM SIGMOBILE Mobile Computing and Communications Review</i>, pp. 81–90, 2015.","ama":"Bloessl B, Puschmann A, Sommer C, Dressler F. 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