Publications

Found 983 results
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Mirghafori, N., Stolcke A., Wooters C., Pirinen T., Bulyko I., Gelbart D., et al. (2004).  From Switchboard to Meetings: Development of the 2004 ICSI-SRI-UW Meeting Recognition System. Proceedings of International Conference on Spoken Language Processing.
Günther, O., & Müller R. (1998).  From GISystems to GIServices: Spatial Computing on the Internet Marketplace.
Casado, M., McKeown N., & Shenker S. J. (2019).  From ethane to SDN and beyond. ACM SIGCOMM Computer Communication Review. 49(5), 92-95.
Paxson, V., Almes G.., Mahdavi J., & Mathis M. (1998).  Framework for IP Performance Metrics.
Paxson, V., Almes G.., Mahdavi J., & Mathis M. (1998).  Framework for IP Performance Metrics.
Mathis, M., & Allman M. (2001).  A Framework for Defining Empirical Bulk Transfer Capacity Metrics.
Moody, J. (1998).  Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions. 347-371.
Marquis-Boire, M., Marczak B., Guarnieri C., & Scott-Railton J. (2013).  For Their Eyes Only: The Commercialization of Digital Spying. The Citizen Lab.
Marquis-Boire, M., Marczak B., Guarnieri C., & Scott-Railton J. (2013).  For Their Eyes Only: The Commercialization of Digital Spying. The Citizen Lab.
Simsek, M., Zhang D., hmann D. Ö., Matthé M., & Fettweis G. (2017).  On the Flexibility and Autonomy of 5G Wireless Networks View Document. IEEE Access. 5,
Chen, X., Roosta-Khorasani F., Bartlett P. L., & Mahoney M. (2016).  FLAG: Fast Linearly-Coupled Adaptive Gradient Method.
Maier, G., Schneider F., & Feldmann A. (2010).  A First Look at Mobile Hand-held Device Traffic. 161-170.
Morgan, N., Cohen J., Parthasarathi S. Hari Krish, Chang S-Y., & Wegmann S. (2013).  Final Report: OUCH Project (Outing Unfortunate Characteristics of HMMs).
Moody, J., Turner E.. L., & Gott, III J.. R. (1983).  Filamentary Galaxy Clustering: A Mapping Algorithm. Astrophysical Journal. 273, 16-23.
Krell, M. Michael, Bernd J., Li Y., Ma D., Choi J., Ellsworth M., et al. (2017).  Field Studies with Multimedia Big Data: Opportunities and Challenges.
Stern, R. M., & Morgan N. (2012).  Features Based on Auditory Physiology and Perception. 193-227.
Yang, J., Mahoney M., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.
Gil, S., Milanese R., & Pun T. (1994).  Feature Selection for Object Tracking in Traffic Scenes.
Yang, H. Hua, & Moody J. (1999).  Feature Selection Based on Joint Mutual Information.
Kingsbury, B., Greenberg S., & Morgan N. (2001).  Feature extraction for automatic speech recognition.
Graciarena, M., Alwan A., Ellis D. P. W., Franco H., Ferrer L., Hansen J. H. L., et al. (2013).  Feature Combination for Highly Channel-Degraded Speech Activity Detection.
Graciarena, M., Alwan A., Ellis D. P. W., Franco H., Ferrer L., Hansen J. H. L., et al. (2013).  Feature Combination for Highly Channel-Degraded Speech Activity Detection.
Milanese, R. (1994).  Feature Binding Through Synchronized Neuronal Oscillations: A Preliminary Study.
Huang, Y., Vinyals O., Friedland G., Müller C., Mirghafori N., & Wooters C. (2007).  A Fast-Match Approach for Robust, Faster than Real-Time Speaker Diarization. Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding. 693-698.
Huang, Y., Vinyals O., Friedland G., Müller C., Mirghafori N., & Wooters C. (2007).  A Fast-Match Approach for Robust, Faster than Real-Time Speaker Diarization. Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding. 693-698.

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