Publications

Found 4258 results
Author [ Title(Desc)] Type Year
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M
Shriberg, E., Ferrer L., Kajarekar S., Venkataraman A., & Stolcke A. (2005).  Modeling Prosodic Feature Sequences for Speaker Recognition. Speech Communication. 46(3-4), 455-472.
Xiong, Y., Scharstein D., Chakrabarti A., Darrell T., Sun B., Saenko K., et al. (2014).  Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11), 2185-2198.
Tschantz, M. Carl, Afroz S., Paxson V., & Tygar J.D.. (2014).  On Modeling the Costs of Censorship. CoRR. abs/1409.3211,
Voisard, A., & Ziekow H. (2010).  Modeling Trade-Offs in the Design of Sensor-Based Event Processing Infrastructures.
Gurtov, A., & Floyd S. (2004).  Modeling Wireless Links for Transport Protocols. ACM Computer Communication Review. 34(2), 85-96.
Sargent, M., Blanton E., & Allman M. (2014).  Modern Application Layer Transmission Patterns from a Transport Perspective.
Callahan, T., Allman M., & Rabinovich M. (2013).  On Modern DNS Behavior and Properties. ACM SIGCOMM Computer Communication Review. 43(3), 8-15.
Adler, M., Bartal Y., Byers J. W., Luby M., & Raz D. (1997).  A Modular Analysis of Network Transmission Protocols.
Kohler, E., Morris R., & Poletto M. (2002).  Modular Components for Network Address Translation. Proceedings of the Fifth International Conference on Open Architectures and Network Programming (OPENARCH '02).
Ee, C. Tien, Fonseca R., Kim S., Moon D., Tavakoli A., Culler D. E., et al. (2006).  A Modular Network Layer for Sensornets. Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI '06). 249-262.
Tavakoli, A., Dutta P., Jeong J., Kim S., Ortiz J., Levis P., et al. (2007).  A Modular Sensornet Architecture: Past, Present, and Future Directions. 4(3), 49-54.
Tavakoli, A., Dutta P., Jeong J., Kim S., Ortiz J., Levis P., et al. (2007).  A Modular Sensornet Architecture: Past, Present, and Future Directions. 49-54.
Aziz-Zadeh, L., Fiebach C., Narayanan S., Feldman J., Dodge E., & Ivry R. B. (2008).  Modulation of the FFA and PPA by Language Related to Faces and Places. Social Neuroscience. 3(3-4), 229-238.
Aziz-Zadeh, L., Fiebach C., Narayanan S., Feldman J., Dodge E., & Ivry R. B. (2006).  Modulation of the FFA and PPA While Listening to Sentences About Faces and Places.
Vinyals, O., & Friedland G. (2008).  Modulation Spectrogram Features for Speaker Diarization. Proceedings of the 9th Annual Conference of the International Speech Communication Association (Interspeech 2008). 630-633.
Greenberg, S., & Kingsbury B. (1997).  The Modulation Spectrogram: In Pursuit of an Invariant Representation of Speech. The 22nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1997). 3, 1647-1650.
Taber, A., Kumar G., Freytag M., & Shapiro V. (2018).  A moment-vector approach to interoperable analysis. Computer-Aided Design. 102, 139-147.
Iyer, A. Pamanabha, Panda A., Chowdhury M., Akella A., Shenker S. J., & Stoica I. (2018).  Monarch: Gaining Command on Geo-Distributed Graph Analytics.. Proceedings of HotCloud 2018.
Haban, D., Wybranietz D., & Barak A. (1988).  Monitoring and Management-Support of Distributed Systems.
Haban, D., & Wybranietz D. (1989).  Monitoring and Measuring Parallel Systems Using a Non-Intrusive Rule-Based.
Ousterhout, K., Canel C., Ratnasamy S., & Shenker S. J. (2017).  Monotasks: Architecting for Performance Clarity in Data Analytics Frameworks. Proceedings of the 26th Symposium on Operating Systems Principles SOSP '17.
Traub, J. F., & Wozniakowski H. (1990).  The Monte Carlo Algorithm with a Pseudo-Random Generator.
Karmarkar, N., Karp R. M., Lipton R. J., Lovász L., & Luby M. (1990).  A Monte-Carlo Algorithm for Estimating the Permanent.
Karmarkar, N., Karp R. M., Lipton R. J., Lovász L., & Luby M. (1993).  A Monte-Carlo algorithm for estimating the permanent. SIAM Journal on Computing. 22(2), 284-293.
Karp, R. M., & Luby M. (1983).  Monte-Carlo Algorithms for Enumeration and Reliability Problems. Proceedings of the 24th Annual Symposium on Foundations of Computer Science. 56-64.

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