Publications

Found 166 results
Author Title [ Type(Desc)] Year
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Conference Paper
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Chen, B. Y., Chang S., & Sivadas S. (2003).  Learning Discriminative Temporal Patterns in Speech: Development of Novel TRAPS-Like Classifiers. Proceedings of EUROSPEECH 2003.
Satzger, B., & Kramer O. (2010).  Learning Heuristic Functions for State-Space Planing. Proceedings of the Fifth IASTED International Conference on Computational Intelligence (CI 2010).
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Chen, B. Y., Zhu Q., & Morgan N. (2004).  Learning Long-Term Temporal Features in LVCSR Using Neural Networks. Proceedings of International Conference on Spoken Language Processing.
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.
Kwok, V.., Niu Z., Kay P., Zhou K., Mo L., Jin Z., et al. (2011).  Learning New Color Names Produces Rapid Increase in Gray Matter in the Intact Adult Human Cortex. 108(16), 6686-6688.
Owens, T., Saenko K., Chakrabarti A., Xiong Y., Zickler T., & Darrell T. (2011).  Learning Object Color Models from Multi- View Constraints.
Tajchman, G., Jurafsky D., & Fosler-Lussier E. (1995).  Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology. Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL 1995). 1-5.
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Gilardi, L., & Baker C. F. (2018).  Learning to Align across Languages: Toward Multilingual FrameNet.
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings. 1042-1050.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
Moody, J., & Darken C. (1988).  Learning with Localized Receptive Fields. Proceedings of the 1988 Connectionist Models Summer School. 133-143.
Hoffman, J., Gupta S., & Darrell T. (2016).  Learning With Side Information Through Modality Hallucination. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 826-834.
Fayazbakhsh, S. Kaveh, Lin Y., Tootoonchian A., Ghodsi A., Koponen T., Maggs B. M., et al. (2013).  Less Pain, Most of the Gain: Incrementally Deployable ICN. 147-158.
Andeani, G.., Di Fabbrizio D.., Gilbert M.., Gillick D., Hakkani-Tür D., & Lemon O.. (2006).  Let's DISCOH: Collecting an Annotated Open Corpus with Dialogue Acts and Reward Signals for Natural Language Helpdesks. Proceedings of the IEEE 2006 Workshop on Spoken Language Technology (SLT 2006). 218-221.
Heller, B., Scott C., McKeown N., Shenker S. J., Wundsam A., Zeng H., et al. (2013).  Leveraging SDN Layering to Systematically Troubleshoot Networks.
Xie, S., Favre B., Hakkani-Tür D., & Liu Y. (2009).  Leveraging Sentence Weights in a Concept-Based Optimization Framework for Extractive Meeting Summarization. 1503-1506.
Stolcke, A., Friedland G., & Imseng D. (2010).  Leveraging Speaker Diarization for Meeting Recognition from Distant Microphones. 4390-4393.
Böhm, C., de Melo G., Naumann F., & Weikum G. (2012).  LINDA: Distributed Web-of-Data-Scale Entity Matching. 2104-2108.
Karp, R. M., & Papadimitriou C. H. (1980).  On Linear Characterizations of Combinatorial Optimization Problems. Proceedings of the 21st Annual IEEE Symposium on Foundations of Computer Science. 1-9.
Jiang, H., Yu S. X., & Martin D. R. (2011).  Linear Scale and Rotation Invariant Matching. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 33(7), 1339-1355.

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