Publications

Found 198 results
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Chun, B., Hellerstein J. M., Huebsch R., Jeffery S. R., Loo B. Thau, Mardanbeigi S., et al. (2004).  Querying at Internet Scale. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '04). 935-936.
Chu, D., Popa L., Tavakoli A., Hellerstein J. M., Levis P., Shenker S. J., et al. (2006).  The Design and Implementation of a Declarative Sensor Network System.
Chu, V., McMahon I., Riano L., McDonald C. G., He Q., Perez-Tejada J. Martinez, et al. (2013).  Using Robotic Exploratory Procedures to Learn the Meaning of Haptic Adjectives.
Chu, V., McMahon I., Riano L., McDonald C. G., He Q., Perez-Tejada J. Martinez, et al. (2015).  Robotic Learning of Haptic Adjectives Through Physical Interaction. Robot. Auton. Syst.. 63(P3), 279–292.
Chu, M., Weaver N., Sulimma K., DeHon A., & Wawrzynek J. (1998).  Object Oriented Circuit Generators in Java. Proceedings of the IEEE Symposium on Field Programmable Custom Computing Machines (FCCM).
Chu, D., Popa L., Tavakoli A., Hellerstein J. M., Levis P., Shenker S. J., et al. (2007).  The Design and Implementation of a Declarative Sensor Network System. 175-188.
Chrobak, M., & Dürr C. (1998).  Reconstructing Polyatomic Structures from Discrete X-Rays: NP-Completeness Proof for Three Atoms.
Chrobak, M., & Dürr C. (1998).  Reconstructing Hv-Convex Polyominoes from Orthogonal Projections.
C. Christoudias, M., Urtasun R., & Darrell T. (2008).  Multi-View Learning in the Presence of View Disagreement.
C. Christoudias, M., Urtasun R., Kapoor A., & Darrell T. (2009).  Co-Training with Noisy Perceptual Observations. 2844-2851.
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
C. Christoudias, M., Urtasun R., & Darrell T. (2008).  Unsupervised Feature Selection via Distributed Coding for Multi-view Object Recognition.
C. Christoudias, M., Urtasun R., Kapoor A., & Darrell T. (2009).  Co-Training with Noisy Perceptual Observations.
Chong, J., Friedland G., Janin A., & Morgan N. (2010).  Opportunities and Challenges of Parallelizing Speech Recognition.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.
Choi, J., Larson M., Li X., Li K., Friedland G., & Hanjalic A. (2017).  The Geo-Privacy Bonus of Popular Photo Enhancements. Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. 84-92.
Choi, J., Friedland G., Ekambaram V., & Ramchandran K. (2012).  Multimodal Location Estimation of Consumer Media – Dealing with Sparse Training Data. 43-48.
Choi, J., Larson M., Li X., Friedland G., & Hanjalic A. (2016).  Where to be wary: The impact of widespread photo-taking and image enhancement practices on users' geo-privacy.
Choi, J., Lei H., & Friedland G. (2011).  The 2011 ICSI Video Location Estimation System.
[Anonymous] (2015).  Multimodal Location Estimation of Videos and Images. (Choi, J., & Friedland G., Ed.).
Choi, J., Akkus I. Ekin, Egelman S., Friedland G., Sommer R., Tschantz M. Carl, et al. (2018).  Cybercasing 2.0: You Get What You Pay For.
Choi, J., Thomee B., Friedland G., Cao L., Ni K., Borth D., et al. (2014).  The Placing Task: A Large-Scale Geo-Estimation Challenge for Social-Media Videos and Images. 27-31.
Choi, J., Larson M., Friedland G., & Hanjalic A. (2019).  From Intra-Modal to Inter-Modal Space: Multi-Task Learning of Shared Representations for Cross-Modal Retrieval. Proceedings of 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM). 1-10.
Choi, J., Lei H., Ekambaram V., Kelm P., Gottlieb L., Sikora T., et al. (2013).  Human Vs Machine: Establishing a Human Baseline for Multimodal Location Estimation.

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