Publications

Found 4228 results
[ Author(Desc)] Title Type Year
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H
hmann, D. Ö., Awada A., Viering I., Simsek M., & Fettweis G. (2017).  Impact of Mobility on the Reliability Performance of 5G Multi-Connectivity Architectures. Proceedings of IEEE Wireless Communications and Networking Conference (WCNC).
hmann, D. Ö., Awada A., Viering I., Simsek M., & Fettweis G. (2017).  Impact of Mobility on the Reliability Performance of 5G Multi-Connectivity Architectures. Proceedings of Wireless Communications and Networking Conference (WCNC) 2017.
Ho, G.., Cidon A.., Gavish L.., Schweighauser M.., Paxson V., Savage S.., et al. (2019).   Detecting and Characterizing Lateral Phishing at Scale. Proceedings of USENIX Security Symposium.
Ho, G., Dhiman M., Akhawe D., Paxson V., Savage S., Voelker G. M., et al. (2021).  Hopper: Modeling and Detecting Lateral Movement. Proceedings of the 30th USENIX Security Symposium. 3093-3110.
Hoang, N. Phong, Niaki A. Akhavan, Dalek J., Knockel J., Lin P., Marczak B., et al. (In Press).  How Great is the Great Firewall? Measuring China's DNS Censorship. Proceedings of the 30th USENIX Security Symposium.
Hobbs, J.., & Narayanan S. (2003).  Spatial Representation and Reasoning.
Hochmuth, C. A., Lässig J., & Thiem S. (2010).  Simulation-Based Evolutionary Optimization of Complex Multi-Location Inventory Models. 703-708.
Hockey, B. Ann, & Rayner M. (2005).  Comparison of Grammar Based and Statistical Language Models Trained on the Same Data.
Hodgkinson, L., & Karp R. M. (2011).  Algorithms to Detect Multiprotein Modularity Conserved During Evolution.
Hodgkinson, L., & Karp R. M. (2011).  Algorithms to Detect Multiprotein Modularity Conserved During Evolution. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Hodgkinson, L., & Mahoney M. (2020).  Multiplicative Noise and Heavy Tails in Stochastic Optimization.
Hodgkinson, L., & Karp R. M. (2011).  Algorithms to Detect Multi-Protein Modularity Conserved During Evolution.
Hoffman, J., Tzeng E., Donahue J., Jia Y., Saenko K., & Darrell T. (2014).  One-Shot Adaptation of Supervised Deep Convolutional Models.
Hoffman, J., Pathak D., Tzeng E., Long J., Guadarrama S., Darrell T., et al. (2016).  Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res.. 17, 4954–4984.
Hoffman, J., Gupta S., Leong J., Guadarrama S., & Darrell T. (2016).  Cross-modal adaptation for RGB-D detection. IEEE International Conference on Robotics and Automation (ICRA). 5032-5039.
Hoffman, J., Saenko K., Kulis B., & Darrell T. (2012).  Discovering Latent Domains for Multisource Domain Adaptation. 702-715.
Hoffman, J., Guadarrama S., Tzeng E., Donahue J., Girshick R., Darrell T., et al. (2014).  Large Scale Detector Adaptation.
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.
Hoffman, J., Rodner E., Donahue J., Darrell T., & Saenko K. (2013).  Efficient Learning of Domain-Invariant Image Representations.
Hoffman, J., Pathak D., Darrell T., & Saenko K. (2015).  Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2883-2891.
Hoffman, J., Darrell T., & Saenko K. (2014).  Continuous Manifold Based Adaptation for Evolving Visual Domains.
Hofmann, T., & Puzicha J. (1998).  Unsupervised Learning from Dyadic Data.
Hölldobler, S. (1990).  CHCL - A Connectionist Inference System for Horn Logic Based on the Connection Method and using Limited Resources.
Hölldobler, S., & Kurfess F. (1991).  CHCL--A Connectionist Inference System.
Hölldobler, S. (1990).  A Connectionist Unification Algorithm.

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