Publications

Found 194 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, 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, 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. (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., 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.
C. Christoudias, M., Urtasun R., Kapoor A., & Darrell T. (2009).  Co-Training with Noisy Perceptual Observations. 2844-2851.
Chong, J., Friedland G., Janin A., & Morgan N. (2010).  Opportunities and Challenges of Parallelizing Speech Recognition.
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., 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., Ekambaram V., Friedland G., & Ramchandran K. (2012).  The 2012 ICSI/Berkeley Video Location Estimation System.
Choi, J., Janin A., & Friedland G. (2010).  The 2010 ICSI Video Location Estimation System.
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.
[Anonymous] (2015).  Multimodal Location Estimation of Videos and Images. (Choi, J., & Friedland G., Ed.).
Choi, J., Lei H., & Friedland G. (2011).  The 2011 ICSI Video Location Estimation System.
Choi, J., & Friedland G. (2011).  Data-Driven vs. Semantic-Technology-Driven Tag-Based Video Location Estimation. 243-246.

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