Publications

Found 4048 results
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Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Zhang, J., & Morgan N. (1990).  Stochastic Model-Based Image Segmentation Using Markov Random Fields and Multi-Layer Perceptrons.
Zhang, W., Yu S. X., & Teng S-H. (2012).  Power SVM: Generalization with Exemplar Classification Uncertainty. 2144-2151.
Zhang, C. Micahel, & Paxson V. (2011).  Detecting and Analyzing Automated Activity on Twitter.
Zhang, L., Shenker S., & Clark D. D. (1991).  Observations on the Dynamics of a Congestion Control Algorithm: The Effects of Two-Way Traffic. Proceedings of the ACM SIGCOMM '91 Conference on Communications Architecture & Protocols. 133-147.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
Zhang, N., Farrell R., & Darrell T. (2012).  Pose Pooling Kernels for Sub-Category Recognition. 3665-3672.
Zhang, Y., & Paxson V. (2000).  Detecting Backdoors. Proceedings of the Ninth USENIX Security Symposium.
Zhang, H., & Ferrari D. (1992).  Rate-Controlled Static Priority Queueing.
Zhang, Y., Duffield N., Paxson V., & Shenker S. (2001).  On the Constancy of Internet Path Properties. Proceedings of the 1st ACM SIGCOMM Internet Measurement Workshop (IMW '01). 197-211.
Zeiler, S., Meutzner H., Abdelaziz A. Hussen, & Kolossa D. (2016).  Introducing the Turbo-Twin-HMM for Audio-Visual Speech Enhancement. Proceedings of Interspeech 2016.
Zaslavsky, N., Regier T., Tishby N., & Kemp C. (In Press).  Semantic categories of artifacts and animals reflect efficient coding. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Garvin K., Kemp C., Tishby N., & Regier T. (In Press).  Evolution and efficiency in color naming: The case of Nafaanra. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
Zaslavsky, N., Kemp C., Tishby N., & Regier T. (2019).  Communicative need in colour naming. Cognitive Neuropsychology.
Zamir, O.., Etzioni O., Madani O.., & Karp R. M. (1997).  Fast and Intuitive Clustering of Web Documents. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 287-290.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Zaitlen, N., Kang H. Min, Feolo M. L., Sherry S. T., Halperin E., & Eskin E. (2005).  Inference and Analysis of Haplotypes from Combined Genotyping Studies Deposited in dbSNP. Genome Research. 15(11), 1594-1600.
Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
Zaharia, M., Xin R. S., Wendell P., Das T., Armbrust M., Dave A., et al. (2016).  Apache Spark: a unified engine for big data processing. Communications of the ACM. 59(11), 56-65.
Zaharia, M., Das T., Li H., Hunter T., Shenker S., & Stoica I. (2012).  Discretized Streams: A Fault-Tolerant Model for Scalable Stream Processing.
Zaharia, M., Das T., Li H., Shenker S., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Zaharia, M., Chowdhury M., Das T., Dave A., Ma J., McCauley M., et al. (2012).  Fast and Interactive Analytics Over Hadoop Data with Spark. USENIX ;login:. 34(4), 45-51.
Zaharia, M., Chowdhury M., Franklin M. J., Shenker S., & Stoica I. (2010).  Spark: Cluster Computing with Working Sets. 1-7.
Zaharia, M., Hindman B., Konwinski A., Ghodsi A., Joseph A. D., Katz R. H., et al. (2011).  The Datacenter Needs an Operating System. 1-5.
Zaharia, M., Katti S., Grier C., Paxson V., Shenker S., Stoica I., et al. (2012).  Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community.

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