Publications

Found 4258 results
Author [ Title(Desc)] Type Year
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Ke, T-W., Hwang J-J., & Yu S. X. (2021).  Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. Proceedings of International Conference on Learning Representations.
Hasegawa, Y., Lee-Goldman R., & Fillmore C. J. (2011).  Universality of Frames: Evidence from English-to-Japanese Translation.
Schilling, M. (2011).  Universally Manipulable Body Models -- Dual Quaternion Representations in Layered and Dynamic MMCs. 30(4), 399-425.
Ajmera, J., Bourlard H., Lapidot I., & McCowan I. (2002).  Unknown-Multiple Speaker Clustering Using HMM. Proceedings of the 7th International Conference on Spoken Language Processing (ICSLP 2002).
Hornauer, S., Li K., Yu S. X., Ghaffarzadegan S., & Ren L. (2021).  Unsupervised Discriminative Learning of Sounds for Audio Event Classification. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing.
Wang, X., Liu Z., & Yu S. X. (2021).  Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
C. Christoudias, M., Urtasun R., & Darrell T. (2008).  Unsupervised Feature Selection via Distributed Coding for Multi-view Object Recognition.
Hofmann, T., & Puzicha J. (1998).  Unsupervised Learning from Dyadic Data.
Gillick, D., Hakkani-Tür D., & Levit M. (2008).  Unsupervised Learning of Edit Parameters for Matching Name Variants. 467-470.
Saenko, K., & Darrell T. (2008).  Unsupervised Learning of Visual Sense Models for Polysemous Words. 1393-1400.
QasemiZadeh, B., Petruck M. R. L., Kallmeyer L., Candito M., Maldonado A., Osswald R., et al. (2019).  Unsupervised Lexical Semantic Frame Induction: A SemEval 2019 Task Proposal.
Bansal, M., DeNero J., & Lin D. (2012).  Unsupervised Translation Sense Clustering. 773-782.
Wang, X., Lian L., & Yu S. X. (2021).  Unsupervised Visual Attention and Invariance for Reinforcement Learning. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Walfish, M., Balakrishnan H., & Shenker S. J. (2004).  Untangling the Web from DNS. Proceedings of the First Symposium on Networked Systems Design and Implementation (NSDI 2004). 225-238.
Tribowski, C., Spin K., Günther O., & Sielemann O. (2009).  Unternehmensübergreifende RFID-Anwendungen – Eine Fallstudie aus der Möbelindustrie zur RFID-basierten Auftragsabwicklung. Proceedings of the 11th Paderborner Frühjahrstagung (PBFT 2009).
Li, Z., Atre R., Huda Z. Ul, Jannesari A., & Wolf F. (2016).  Unveiling Parallelization Opportunities in Sequential Programs. Journal of Systems and Software. 117, 282–295.
Baker, J. M., Deng L., Khudanpur S., Lee C-H., Glass J. R., Morgan N., et al. (2009).  Updated MINDS Report on Speech Recognition and Understanding, Part 2. IEEE Signal Processing Magazine. 26(4), 78-85.
Lee, L., Fifield D., Malkin N., Iyer G., Egelman S., & Wagner D. (2017).  A Usability Evaluation of Tor Launcher. Proceedings on Privacy Enhancing Technologies 2017.
Egelman, S. (2018).  The Usable Security & Privacy Group. 30 Years of Innovation: ICSI 30th Anniversary Celebration.
Patra, R., Pal J., Nedevschi S., Plauché M., & Pawar U.. S. (2007).  Usage Models of Classroom Computing in Developing Regions. Proceedings of International Conference on Information Technologies and Development (ICTD2007). 158-167.
Sokol, J., & Widmer J. (2001).  USAIA: Ubiquitous Service Access Internet Architecture.
Gottlieb, L., & Friedland G. (2009).  On the Use of Artificial Conversation Data for Speaker Recognition in Cars. 124-128.
Adams, A. K., Bu T., Cáceres R., Duffield N., Friedman T., Horowitz J., et al. (2000).  The Use of End-to-end Multicast Measurements for Characterizing Internal Network Behavior.
Ravuri, S. (2011).  On the Use of Spectro-Temporal Features in Noise-Additive Speech.
Feldman, J., Pingle K.. K., Binford T.. O., Falk G., Hay A.., Pau R.., et al. (1971).  The Use of Vision and Manipulation to Solve the 'Instant Insanity' puzzle. 359-364.

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