Publications

Found 541 results
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F
Huijbregts, M., Wooters C., & Ordelman R. (2007).  Filtering the Unknown: Speech Activity Detection in Heterogeneous Video Collections. 2925-2928.
Morgan, N., Cohen J., Parthasarathi S. Hari Krish, Chang S-Y., & Wegmann S. (2013).  Final Report: OUCH Project (Outing Unfortunate Characteristics of HMMs).
Schwarz, C., Teich J., Welzl E., & Evans B. (1994).  On Finding a Minimal Enclosing Parallelgram.
Chen, J., Jiang J., Zheng X., Duan H., Liang J., Li K., et al. (2016).  Forwarding-Loop Attacks in Content Delivery Networks. Proceedings of the Network and Distributed System Security Symposium (NDSS).
Fillmore, C. J., Petruck M. R. L., Ruppenhofer J., & Wright A. (2003).  FrameNet in Action: The Case of Attaching. 297-332.
Johnson, C. R., Fillmore C. J., Wood E. J., Ruppenhofer J., Petruck M. R. L., & Baker C. F. (2001).  The FrameNet Project: Tools for Lexicon Building. Unpublished book draft. 1-230.
Johnson, C. R., Fillmore C. J., Petruck M. R. L., Baker C. F., Ellsworth M., Ruppenhofer J., et al. (2002).  FrameNet: Theory and Practice.
Anguera, X., Wooters C., & Hernando J. (2006).  Friends and Enemies: A Novel Initialization for Speaker Diarization. Proceedings of the 9th International Conference on Spoken Language Processing (ICSLP-Interspeech 2006). 689-692.
Raab, M., Wernsdorfer M., Kitzelmann E., & Schmid U. (2011).  From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of Experience. 6830, 333-339.
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.
Knightly, E. W., Wrege D. E., Liebeherr J., & Zhang H. (1994).  Fundamental Limits and Tradeoffs of Providing Deterministic Guarantees to VBR Video Traffic.
Stolcke, A., Anguera X., Boakye K., etin Ö. Ç., Grezl F., Janin A., et al. (2005).  Further Progress in Meeting Recognition: The ICSI-SRI Spring 2005 Speech-to-Text Evaluation System. Proceedings of the Second Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2005). 463-475.
G
Shenker, S. J., & Wroclawski J. (1997).  General Characterization Parameters for Integrated Service Network Elements.
Werther, T. (1993).  Generalized Vandermonde Determinants Over the Chebyshev Basis.
Warren, W. (2001).  Global Posterior Probability Estimates as Confidence Measures in an Automatic Speech Recognition System. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001).
Warren, W. (2000).  Global Posterior Probability Estimates as Decision Confidence Measures in an Automatic Speech Recognition System.
Kreibich, C., Weaver N., Kanich C., Cui W., & Paxson V. (2011).  GQ: Practical Containment for Measuring Modern Malware Systems.
Kreibich, C., Weaver N., Kanich C., Cui W., & Paxson V. (2011).  GQ: Practical Containment for Measuring Modern Malware Systems.
Gusfield, D., Karp R. M., Wang L., & Stelling P. (1998).  Graph Traversals, Genes and Matroids: An Efficient Case of the Travelling Salesman Problem. 88,
Alon, N., Karp R. M., Peleg D., & West D. (1995).  A graph-theoretic game and its application to the k-server problem. SIAM Journal on Computing. 24(1), 78-100.
Alon, N., Karp R. M., Peleg D., & West D. (1991).  A Graph-Theoretic Game and its Application to the k-Server Problem.
Weinrib, A., & Shenker S. J. (1988).  Greed is Not Enough: Adaptive Load Sharing in Large Heterogeneous Systems. Proceedings of the Seventh Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE INFOCOM '88). 986-994.
Asanović, K., & Wittig R.. (2010).  Guest Editors' Introduction: Proceedings of the 21st Symposium on High Performance Chips (Hot Chips 21), Stanford, California. IEEE Micro. 30(2), 5-6.
H
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.
Yao, Z., Dong Z., Zheng Z., Gholami A., Yu J., Tan E., et al. (2021).  HAWQV3: Dyadic Neural Network Quantization.

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