Publications

Found 4258 results
Author Title [ Type(Desc)] Year
Journal Article
Morgan, N., & Bourlard H. (1992).  Factoring Networks by a Statistical Method. Neural Computation. 835-838.
Morgan, N., & Bourlard H. (1992).  Factoring Networks by a Statistical Method. Neural Computation. 835-838.
Adler, I., Karp R. M., & Shamir R. (1986).  A family of simplex variants solving an m*d linear program in expected number of pivot steps depending on d only. Mathematics of Operations Research. 11(4), 570-590.
Baran, Y., Pasaniuc B., Sankararaman S., Torgerson D. G., Gignoux C., Eng C., et al. (2012).  Fast and Accurate Inference of Local Ancestry in Latino Populations. Bioinformatics. 28(10), 1359-1367.
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.
Paxson, V. (1997).  Fast, Approximate Synthesis of Fractional Gaussian Noise for Generating Self-Similar Network Traffic. Computer Communication Review. 27(5), 5-18.
Karp, R. M., & Wigderson A. (1985).  A fast parallel algorithm for the maximal independent set problem. Journal of the Association for Computing Machinery. 32(4), 762-773.
Kulis, B., Jain P., & Grauman K. (2009).  Fast Similarity Search for Learned Metrics. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12), 2143-2157.
Moody, J., Turner E.. L., & Gott, III J.. R. (1983).  Filamentary Galaxy Clustering: A Mapping Algorithm. Astrophysical Journal. 273, 16-23.
Fillmore, C. J. (1990).  Fillmore on Language and Teaching. Moderna Sprak. 84(2), 105-113.
Beverly, R., & Allman M. (2013).  Findings and Implications from Data Mining the IMC Review Process. ACM SIGCOMM Computer Communication Review. 3(1), 23-29.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
Simsek, M., Zhang D., hmann D. Ö., Matthé M., & Fettweis G. (2017).  On the Flexibility and Autonomy of 5G Wireless Networks View Document. IEEE Access. 5,
Stickles, E., David O., Dodge E., & Hong J. (2016).  Formalizing contemporary conceptual metaphor theory: A structured repository for metaphor analysis. MetaNet, Special Issue of Constructions and Frames. 8(2), 
Feldman, J. (1985).  Four Frames Suffice: A Provisional Model of Vision and Space. Behavioral and Brain Sciences. 8, 265-289.
Ohara, K. Hirose (2006).  Frame Semantics and Japanese FrameNet. Nihongogaku (Japanese Linguistics). 25(6), 40-52.
Hasegawa, Y., Lee-Goldman R., Kong A., & Akita K. (2011).  FrameNet as a Resource for Paraphrase Research. Constructions and Frames. 3(1), 104-127.
Fillmore, C. J., & Petruck M. R. L. (2003).  FrameNet Glossary. International Journal of Lexicography. 359-361.
Fillmore, C. J., Petruck M. R. L., Ruppenhofer J., & Wright A. (2003).  FrameNet in Action: The Case of Attaching. 297-332.
Lönneker-Rodman, B., & Baker C. F. (2009).  The FrameNet Model and Its Applications. Natural Language Engineering. 15(3), 415-453.
Fillmore, C. J. (1985).  Frames and the Semantics of Understanding. Quaderni di Semantica. 6(2), 222-254.
Krawczyk, J.., Kohl T. A., Goesmann A.., Kalinowski J.., & Baumbach J. (2009).  From Corynebacterium Glutamicum to Mycobacterium Tuberculosis - Towards Transfers of Gene Regulatory Networks and Integrated Data Analyses with MycoRegNet. Nucleic Acids Research. 37(14), 
Shastri, L., & Ajjanagadde V. (1993).  From simple associations to systematic reasoning. 16(3), 417-494.
Shastri, L. (2004).  From Transient Patterns to Persistent Structures: A model of episodic memory formation via cortic-hippocampal interactions.
Shelhamer, E., Long J., & Darrell T. (2016).  Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(4), 640-651.

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