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Nixon MS, Tan T, Chellappa R.  2006.  Silhouette-Based Approaches. Human Identification Based on GaitHuman Identification Based on Gait. :45-105.
Nixon MS, Tan T, Chellappa R.  2006.  Model-Based Approaches. Human Identification Based on GaitHuman Identification Based on Gait. :107-133.
Nixon MS, Tan T, Chellappa R.  2006.  Human identification based on gait.
Nixon MS, Tan T, Chellappa R.  2006.  Gait Databases. Human Identification Based on GaitHuman Identification Based on Gait. :17-34.
Nixon MS, Tan T, Chellappa R.  2006.  Future Challenges. Human Identification Based on GaitHuman Identification Based on Gait. :151-170.
Niu Y, Elaine Shi, Chow R, Golle P, Jakobsson M.  2010.  One experience collecting sensitive mobile data.
Nirkhe M, Kraus S, Perlis D.  1995.  Thinking takes time: a modal active-logic for reasoning in time. Proc. of BISFAI-95.
Nirkhe V, Pugh W.  1993.  A partial evaluator for the Maruti hard real-time system. Real-Time Systems. 5(1):13-30.
Nirkhe M, Kraus S, Perlis D.  1991.  Fully deadline-coupled planning: One step at a time. Methodologies for Intelligent Systems. :589-599.
Nirkhe V, Pugh W.  1992.  Partial evaluation of high-level imperative programming languages with applications in hard real-time systems. Proceedings of the 19th ACM SIGPLAN-SIGACT symposium on Principles of programming languages. :269-280.
Nirkhe M, Kraus S, Perlis D.  1993.  Situated reasoning within tight deadlines and realistic space and computation bounds. Proc. Common Sense. 93
Nirkhe M, Kraus S, Miller M, Perlis D.  1997.  How to (plan to) meet a deadline between now and then. Journal of Logic and Computation. 7(1):109-109.
Nikolova S, Boyd-Graber J, Fellbaum C.  2012.  Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools. Modeling, Learning, and Processing of Text Technological Data StructuresModeling, Learning, and Processing of Text Technological Data Structures. 370:81-93.
Nikolova S, Boyd-Graber J, Fellbaum C, Cook P.  2009.  Better vocabularies for assistive communication aids: connecting terms using semantic networks and untrained annotators. Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility. :171-178.
Nikolova S, Boyd-Graber J, Cook PR.  2009.  The design of ViVA: a mixed-initiative visual vocabulary for aphasia. Proceedings of the 27th international conference extended abstracts on Human factors in computing systems. :4015-4020.
Ni J, Chellappa R.  2010.  Evaluation of state-of-the-art algorithms for remote face recognition. Image Processing (ICIP), 2010 17th IEEE International Conference on. :1581-1584.
Ni J, Turaga P, Patel VM, Chellappa R.  2011.  Example-Driven Manifold Priors for Image Deconvolution. Image Processing, IEEE Transactions on. 20(11):3086-3096.
Ni J, Turaga P, M.Patel V, Chellappa R.  2010.  Object Dependent Manifold Priors for Image Deconvolution. Digital Image Processing and Analysis. :DMC2-DMC2.
Nguyen T, Hu Y, Boyd-Graber J.  Submitted.  Evaluating Regularized Anchor Words. mimno.infosci.cornell.edu.
Nguyen V-A, Boyd-Graber J, Altschul SF.  2013.  Dirichlet Mixtures, the Dirichlet Process, and the Structure of Protein Space. Journal of Computational Biology. 20PDF icon cmb%2E2012%2E0244.pdf (292.43 KB)
Nguyen V-A, Boyd-Graber J, Resnik P.  2013.  Lexical and Hierarchical Topic Regression. :1106-1114.
Nguyen H V, Banerjee A, Burlina P, Broadwater J, Chellappa R.  2011.  Tracking and Identification via Object Reflectance Using a Hyperspectral Video Camera. Machine Vision Beyond Visible SpectrumMachine Vision Beyond Visible Spectrum. 1:201-219.
Nguyen H V, Banerjee A, Chellappa R.  2010.  Tracking via object reflectance using a hyperspectral video camera. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :44-51.
Nguyen V-A, Boyd-Graber J, Resnik P, Cai DA, Midberry JE, Wang Y.  2013.  Modeling topic control to detect influence in conversations using nonparametric topic models. Machine Learning. :1-41.
Nguyen V-A, Boyd-Graber J, Resnik P.  2012.  SITS: A Hierarchical Nonparametric Model using Speaker Identity for Topic Segmentation in Multiparty Conversations. Association for Computational Linguistics.

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