Publications

Found 4120 results
Author Title [ Type(Asc)] Year
Conference Paper
Jamin, S., Shenker S., Zhang L., & Clark D. D. (1992).  An Admission Control Algorithm for Predictive Real-Time Service (Extended Abstract). Proceedings of the Third International Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV). 349-356.
Partridge, C., & Allman M. (2015).  Addressing Ethical Considerations in Network Measurement Papers. Proceedings of ACM SIGCOMM Workshop on Ethics in Networked Systems Research.
Shriberg, E., Stolcke A., & Ravuri S. (2013).  Addressee Detection for Dialog Systems Using Temporal and Spectral Dimensions of Speaking Style.
Fritz, M., Black M., Bradski G., Karayev S., & Darrell T. (2009).  An Additive Latent Feature Model for Transparent Object Recognition.
Fritz, M., Black M., Bradski G., & Darrell T. (2009).  An Additive Latent Feature Model for Transparent Object Recognition. 558-566.
Nithyanand, R., Khattak S., Javed M., Vallina-Rodriguez N., Falahrastegar M., Powles J. E., et al. (2016).  Adblocking and Counter-Blocking: A Slice of the Arms Race. Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet (FOCI '16).
Zhang, L., Michel S.., Nguyen K.., Rosenstein A.., Floyd S., & Jacobson V. (1998).  Adaptive Web Caching: Towards a New Global Caching Architecture. Proceedings of the Third International WWW Caching Workshop.
Jung, J., Milito R. A., & Paxson V. (2007).  On the Adaptive Real-Time Detection of Fast-Propagating Network Worms. 175-192.
Sánchez, M. (2001).  Adaptive Power Control for Ad-Hoc Networks. Proceedings of Fifth International Conference on Sytemics Cybernetics and Informatics (SCI), 2001.
Lässig, J., & Sudholt D. (2011).  Adaptive Population Models for Offspring Populations and Parallel Evolutionary Algorithms. 181-192.
Hopfgartner, F. (2011).  Adaptive Interactive News Video Recommendation: An Example System.
Imseng, D., & Friedland G. (2010).  An Adaptive Initialization Method for Speaker Diarization Based on Prosodic Features. 4946-4949.
Satzger, B., Kramer O., & Lässig J. (2010).  Adaptive Heuristic Estimates for Automated Planning Using Regression. 576-581.
van Heeswijk, M., Miche Y., Lindh-Knuutila T., Hilbers P. A. J., Honkela T., Oja E., et al. (2009).  Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. 2, 305-314.
Dries, A., & Rückert U. (2009).  Adaptive Concept Drift Detection. 235-246.
Saenko, K., Kulis B., Fritz M., & Darrell T. (2010).  Adapting Visual Category Models to New Domains. 213-226.
Thomas, K., Grier C., & Paxson V. (2012).  Adapting Social Spam Infrastructure for Political Censorship.
Tzeng, E., Devin C., Hoffman J., Finn C., Abbeel P., Levine S., et al. (2016).  Adapting deep visuomotor representations with weak pairwise constraints. Workshop on the Algorithmic Foundations of Robotics (WAFR).
Thomas, K., Bursztein E., Jagpal N., Rajab M. Abu, Provos N., Pearce P., et al. (2015).  Ad Injection at Scale: Assessing Deceptive Advertisement Modifications.
Gomes, B., Weissman B., & Feldman J. (1998).  Active Threads: Enabling Fine-Grained Parallelism in Object-Oriented Languages. Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA ’98).
Feldman, J., Lakoff G., & Narayanan S. (2000).  Active Schemas for Generation, Recognition, and Understanding of Action. Proceedings of the First Mirror Neuron Conference.
Shankar, U., & Paxson V. (2003).  Active Mapping: Resisting NIDS Evasion Without Altering Traffic. Proceedings of the IEEE Symposium on Security and Privacy.
Kääriäinen, M. (2005).  On Active Learning in the Non-Realizable Case. Proceedings of the Foundations of Active Learning Workshop at the 19th Annual Conference on Neural Information Processing Systems (NIPS).
Wendelken, C., & Shastri L. (2003).  Acquisition of concepts and causal rules in Shruti. Proceedings of the 25th Annual Conference of the Cognitive Science Society.
Mertens, R., Lei H., Gottlieb L., Friedland G., & Divakaran A. (2011).  Acoustic Super Models for Large Scale Video Event Detection.

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