Publications

Found 4258 results
Author Title [ Type(Asc)] Year
Conference Paper
Feldman, J. (1979).  A Distributed Information Processing Model of Visual Memory. Proceedings of the Conference on Associative Memory and Parallel Computation.
Derezinski, M.., & Mahoney M. (2019).  Distributed estimation of the inverse Hessian by determinantal averaging. Proceedings of the 2019 NeurIPS Conference.
Liu, X. (2019).  Distributed Design of Two-Scale Structures With Unit Cells. Proceedings of ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
Feigenbaum, J., & Shenker S. J. (2002).  Distributed Algorithmic Mechanism Design: Recent Results and Future Directions. Proceedings of the 6th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications (DIALM'02). 1-13.
Almeida, M., Finamore A., Perino D., Vallina-Rodriguez N., & Varvello M. (2017).  Dissecting DNS Stakeholders in Mobile Networks. Proceedings of CoNEXT.
Caballero, J., Poosankam P., Kreibich C., & Song D. (2009).  Dispatcher: Enabling Active Botnet Infiltration Using Automatic Protocol Reverse-Engineering. 621-634.
Ananthanarayanan, G., Ghodsi A., Shenker S. J., & Stoica I. (2011).  Disk-Locality in Datacenter Computing Considered Irrelevant. 1-5.
Girshick, R., Song H. Oh, & Darrell T. (2013).  Discriminatively Activated Sparselets.
Gillick, D., Wegmann S., & Gillick L. (2012).  Discriminative Training for Speech Recognition is Compensating for Statistical Dependence on the HMM Framework. 4745-4748.
Vinyals, O., Friedland G., & Morgan N. (2010).  Discriminative Training for Hierarchical Clustering in Speaker Diarization. 2326-2329.
Schnitzspan, P., Fritz M., Roth S., & Schiele B. (2009).  Discriminative Structure Learning of Hierarchical Representations for Object Detection. 2238-2245.
Vinyals, O., Deng L., Yu D., & Acero A. (2009).  Discriminative Pronunciation Learning Using Phonetic Decoder and Minimum-Classification-Error Criterion. 4445-4448.
Segal, E., & Sharan R. (2004).  A Discriminative Model for Identifying Spatial Cis-Regulatory Modules. Proceedings of RECOMB 2004. 141-149.
Yeom, S., & Tschantz M. Carl (2018).  Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Jing, L., Liu B., Choi J., Janin A., Bernd J., Mahoney M., et al. (2016).  A discriminative and compact audio representation for event detection. Proceedings of the 2016 ACM Conference on Multimedia (MM '16). 57-61.
Zaharia, M., Das T., Li H., Shenker S. J., & Stoica I. (2012).  Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters. 1-6.
Ideker, T. E., Thorsson V., & Karp R. M. (2000).  Discovery of Regulatory Interactions Through Perturbation: Inference and Experimental Design. Proceedings of Pacific Symposium on Biocomputing (PSB 2000). 302-313.
Ben-Dor, A., Chor B., Karp R. M., & Yakhini Z. (2002).  Discovering Local Structure in Gene Expression Data: The Order Preserving Submatrix Problem. Proceedings of the Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB'02).
Hoffman, J., Saenko K., Kulis B., & Darrell T. (2012).  Discovering Latent Domains for Multisource Domain Adaptation. 702-715.
Galley, M., McKeown K. R., Fosler-Lussier E., & Jing H.. (2003).  Discourse Segmentation of Multi-party Conversation. Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03).
Beamer, S., Asanović K., & Patterson D. (2012).  Direction-Optimizing Breadth-First Search.
Shriberg, E., & Stolcke A. (2004).  Direct Modeling of Prosody: An Overview of Applications in Automatic Speech Processing. Proceedings of the International Conference on Speech Prosody.
Narihira, T., Maire M., & Yu S. X. (2015).  Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. Proceedings of International Conference on Computer Vision.
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.
Morgan, N., Wu S-L., & Bourlard H. (1995).  Digit Recognition with Stochastic Perceptual Models. Proceedings of the Fourth European Conference on Speech Communication and Technology (Eurospeech '95).

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