Publications

Found 189 results
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C
Chun, B-G., Maniatis P., & Shenker S. (2008).  Diverse Replication for Single-Machine Byzantine-Fault Tolerance. 287-292.
Chu, D., Popa L., Tavakoli A., Hellerstein J. M., Levis P., Shenker S., et al. (2006).  The Design and Implementation of a Declarative Sensor Network System.
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, 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, D., Popa L., Tavakoli A., Hellerstein J. M., Levis P., Shenker S., 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., 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.
C. Christoudias, M., Urtasun R., & Darrell T. (2008).  Multi-View Learning in the Presence of View Disagreement.
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., 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., Janin A., & Friedland G. (2010).  The 2010 ICSI Video Location Estimation System.
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., Lei H., Ekambaram V., Kelm P., Gottlieb L., Sikora T., et al. (2013).  Human Vs Machine: Establishing a Human Baseline for Multimodal Location Estimation.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.

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