Publications

Found 4258 results
Author [ Title(Asc)] Type Year
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D
Dodge, E. (2016).  A deep semantic corpus-based approach to metaphor analysis: A case study of metaphoric conceptualizations of poverty. MetaNet, Special Issue of Constructions and Frames. 8(2), 
Yu, S. X., & Zipser K. (2016).  A Deep Neural Net Trained for Person Categorization Develops Both Detailed Local Features and Broad Contexual Specificities. Poster at Vision Sciences Society Annual Meeting.
Gao, Y., Hendricks L. Anne, Kuchenbecker K. J., & Darrell T. (2016).  Deep learning for tactile understanding from visual and haptic data. IEEE International Conference on Robotics and Automation (ICRA). 536-543.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Deep compositional question answering with neural module networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Hendricks, L. Anne, Venugopalan S., Rohrbach M., Mooney R., Saenko K., & Darrell T. (2016).  Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1-10.
Morgan, N. (2011).  Deep and Wide: Multiple Layers in Automatic Speech Recognition.
Morgan, N. (2012).  Deep and Wide: Multiple Layers in Automatic Speech Recognition. IEEE Transactions on Audio. 20(1), 7-13.
Alizadeh, M., Yang S., Katti S., McKeown N., Prabhakar B., & Shenker S. J. (2012).  Deconstructing Datacenter Packet Transport. 133-138.
Fritz, M., & Schiele B. (2008).  Decomposition, Discovery, and Detection of Visual Categories Using Topic Models.
Barker, J., Cooke M. P., & Ellis D. P. W. (2000).  Decoding Speech in the Presence of Other Sound Sources. Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000).
M. Shokrollahi, A., & Wasserman H. (1998).  Decoding Algebraic-Geometric Codes Beyond the Error-Correction Bound.
Tavakoli, A., Chu D., Hellerstein J. M., Levis P., & Shenker S. J. (2007).  A Declarative Sensornet Architecture. 55-60.
Tavakoli, A., Chu D., Hellerstein J. M., Levis P., & Shenker S. J. (2007).  A Declarative Sensornet Architecture. 4(3), 55-60.
Feldman, J., & Sproull R. F. (1977).  Decision Theory and Artificial Intelligence II: The Hungry Monkey. 4, 207-223.
Feldman, J., & Sproull R. F. (1977).  Decision Theory and Artificial Intelligence II: The Hungry Monkey. In Cognitive Science. 2, 158-192.
Feldman, J., & Yakimovsky Y.. (1974).  Decision Theory and Artificial Intelligence: I. A Semantics-Based Region Analyzer. 5(4), 349-371.
[Anonymous] (1998).  Decision Technologies for Computational Finance, Proceedings of the London Conference. (Refenes, A.., Burgess N.., & Moody J., Ed.).
Cantone, D., & Cutello V. (1992).  Decision Procedures for Flat Set-Theorectical Syllogistics.I. General Union, Powerset and Singleton Operators.
Halperin, E. (2010).  Deciphering the Genetic Components of Human Diseases.
Sander, T., & M. Shokrollahi A. (1997).  Deciding Properties of Polynomials without Factoring.
Cantone, D., & Cutello V. (1991).  On the Decidability Problem for a Topological Syllogistic Involving the Notion of Topological Product.
Donahue, J., Jia Y., Vinyals O., Hoffman J., Zhang N., Tzeng E., et al. (2014).  DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Weaver, N. (2022).  The Death of Cryptocurrency: The Case for Regulation. Yale Law School Information Society Project. Digital Future Whitepaper Series,
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with Negated Knowledge and Inconsistency in a Neurally Motivated Model of Memory and Reflexive Reasoning.
Shastri, L., & Grannes D. Jeffrey (1995).  Dealing with negated knowledge and inconsistency in a neurally motivated model of memory and reflexive reasoning.

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