Publications

Found 192 results
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Chun, B-G., Ratnasamy S., & Kohler E. (2008).  NetComplex: A Complexity Metric for Network System Designs. Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2008). 393-406.
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., et al. (2007).  The Design and Implementation of a Declarative Sensor Network System. 175-188.
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.
Chrobak, M., & Dürr C. (1998).  Reconstructing Hv-Convex Polyominoes from Orthogonal Projections.
Chrobak, M., & Dürr C. (1998).  Reconstructing Polyatomic Structures from Discrete X-Rays: NP-Completeness Proof for Three Atoms.
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.
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.
Chong, J., Friedland G., Janin A., & Morgan N. (2010).  Opportunities and Challenges of Parallelizing Speech Recognition.
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., Janin A., & Friedland G. (2010).  The 2010 ICSI Video Location Estimation System.
Choi, J., Ekambaram V., Friedland G., & Ramchandran K. (2012).  The 2012 ICSI/Berkeley Video Location Estimation System.
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.

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