Publications

Found 4228 results
[ Author(Asc)] Title Type Year
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Z
Zweig, G. (1998).  Speech Recognition with Dynamic Bayesian Networks.
Zou, Y., Zetterberg P., Gustavsson U., Svensson T., Zaidi A., Kadur T., et al. (2016).  Impact of Major RF Impairments on mm-Wave Communications Using OFDM Waveforms. 2016 IEEE Globecom Workshops (GC Wkshps). 1-7.
Zlatev, J. (1992).  A Study of Perceptually Grounded Polysemy in a Spatial Microdomain.
Zisook, A. B., & Shenker S. J. (1982).  Renormalization Group for Intermittency in Area-Preserving Mappings. Physical Review A. 25(5), 2824-2826.
Zipser, K., Yu S. X., & Olshausen B. A. (2015).  Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop.
Zimmermann, M., Liu Y., Shriberg E., & Stolcke A. (2005).  Toward Joint Segmentation and Classification of Dialog Acts in Multi-Party Meetings. Proceedings of the Second Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2005). 187-193.
Zimmermann, M., Liu Y., Shriberg E., & Stolcke A. (2005).  A* Based Joint Segmentation and Classification of Dialog Acts in Multi-Party Meetings. Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2005). 215-219.
Zimmermann, W. (1990).  Automatic Worst Case Complexity Analysis of Parallel Programs.
Zimmermann, M., Hakkani-Tür D., Fung J., Mirghafori N., Gottlieb L., Shriberg E., et al. (2006).  The ICSI+ Muilti-Lingual Sentence Segmentation System. Proceedings of the 9th International Conference on Spoken Language Processing (ICSLP-Interspeech 2006). 117-120.
Zimmermann, M., Stolcke A., & Shriberg E. (2006).  Joint Segmentation and Classification of Dialog Acts in Multi-Party Meetings. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). 1, 581-584.
Zimmermann, W. (1991).  The Automatic Worst Case Analysis of Parallel Programs: Single Parallel Sorting and Algorithms on Graphs.
Zimmer, B., Toh S. Oon, Vo H., Lee Y., Thomas O., Asanović K., et al. (2012).  SRAM Assist Techniques for Operation in a Wide Voltage Range in 28-nm CMOS. IEEE Transactions on Circuits and Systems-II. 59(12), 853-857.
Ziem, A., Boas H. C., & Ruppenhofer J. (2013).  Semantische Frames und grammatische Konstruktionen für die Textanalyse.
Ziem, A. (2013).  Von der Kasusgrammatik zum FrameNet: Frames, Konstruktionen und die Idee eines Konstruktikons.
Ziem, A. (2013).  Beyond the Sentence: Towards a Cognitive-Linguistic Approach to Textual Reference. In Yearbook of the Cognitive Linguistic Association. 39-58.
Ziekow, H. (2009).  Exploiting Process Knowledge for Event Processing in Distributed Business Applications. 277-281.
Ziekow, H., Ivantysynova L., & Günther O. (2010).  Architectural Patterns for RFID Applications in Manufacturing.
Ziekow, H., & Günther O. (2010).  Sharing RFID and Complex Event Data Among Organizations. Information Systems Frontiers. 12(5), 541-549.
Ziekow, H., Fabian B., & Müller C. (2009).  High-Speed Access to RFID Data: Meeting Real-Time Requirements in Distributed Value Chains. 142-151.
Zhuang, S., Lai K., Stoica I., Katz R. H., & Shenker S. J. (2002).  Host Mobility Using an Internet Indirection Infrastructure.
Zhuang, S., Lai K., Stoica I., Katz R. H., & Shenker S. J. (2003).  Host Mobility Using an Internet Indirection Infrastructure. Proceedings of the First International Conference on Mobile Systems, Applications, and Services (MobiSys 2003). 129-144.
Zhuang, S., Lai K., Stoica I., Katz R. H., & Shenker S. J. (2005).  Host Mobility Using an Internet Indirection Infrastructure. Wireless Networks. 11(6), 741-756.
Zhu, Q., Chen B. Y., Morgan N., & Stolcke A. (2004).  On Using MLP Features in LVCSR. Proceedings of International Conference on Spoken Language Processing.
Zhu, Q., Stolcke A., Chen B. Y., & Morgan N. (2004).  Incorporating Tandem/HATs MLP Features into SRI's Conversational Speech Recognition System. Proceedings of the EARS RT-04F Workshop.
Zhu, L., Amann J., & Heidemann J. (2016).  Measuring the Latency and Pervasiveness of TLS Certificate Revocation. Proceedings of Passive and Active Measurement Conference (PAM).

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