Publications

Found 405 results
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Souiai, M., Nieuwenhuis C., Strekalovskiy E., & Cremers D. (2013).  Convex Optimization for Scene Understanding.
Soszka, M., Simsek M., & Fettweis G. (2016).  On link combining methods for highly reliable future wireless communication. Proceedings of International Symposium on Wireless Communication Systems (ISWCS) 2016.
Sönmez, K., Shriberg E., Heck L.., & Weintraub M. (1998).  Modeling Dynamic Prosodic Variation for Speaker Verification. Proceedings of the Fifth International Conference on Spoken Language Processing (ICSLP'98). 7, 3189.
Sönmez, K., Plauché M., Shriberg E., & Franco H. (2000).  Consonant Discrimination in Elicited and Spontaneous Speech: A Case for Signal-Adaptive Front Ends in ASR. Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000).
Song, H. Oh, Zickler S., Althoff T., Girshick R., Geyer C., Fritz M., et al. (2012).  Sparselet Models for Efficient Multiclass Object Detection. 802-815.
Song, H. Oh, Girshick R., Zickler S., Geyer C., Felzenszwalb P., & Darrell T. (2015).  Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 1001-1012.
Song, H. Oh, Fritz M., Gu C., & Darrell T. (2011).  Visual Grasp Affordances From Appearance-Based Cues. 998-1005.
Song, X., Hälsig T., Rave W., Lankl B., & Fettweis G. (2016).  Analog equalization and low resolution quantization in strong line-of-sight MIMO communication. 2016 IEEE International Conference on Communications (ICC). 1-7.
Song, H. Oh, Lee Y. Jae, Jegelka S., & Darrell T. (2014).  Weakly-Supervised Discovery of Visual Pattern Configurations.
Song, X., Rave W., & Fettweis G. (2016).  Analog and successive channel equalization in strong line-of-sight MIMO communication. 2016 IEEE International Conference on Communications (ICC). 1-7.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
Song, X., Jans C., Landau L., Cvetkovski D., & Fettweis G. (2015).  A 60GHz LOS MIMO Backhaul Design Combining Spatial Multiplexing and Beamforming for a 100Gbps Throughput. 2015 IEEE Global Communications Conference (GLOBECOM). 1-6.
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
Song, X., Babu N., Rave W., Majhi S., & Fettweis G. (2016).  Two-Level Spatial Multiplexing using Hybrid Beamforming Antenna Arrays for mmWave Communications. CoRR. abs/1607.08737,
Song, X., & Fettweis G. (2015).  On Spatial Multiplexing of Strong Line-of-Sight MIMO With 3D Antenna Arrangements. IEEE Wireless Communications Letters. 4, 393-396.
Song, H. Oh, Fritz M., Goehring D., & Darrell T. (2016).  Learning to Detect Visual Grasp Affordance. IEEE Transactions on Automation Science and Engineering. 13(2), 798-809.
Song, X., Landau L., Israel J., & Fettweis G. (2015).  Strong LOS MIMO for Short Range mmWave Communication - Towards 1 Tbps Wireless Data Bus. 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB). 1-5.
Sommer, R., & Paxson V. (2005).  Exploiting Independent State For Network Intrusion Detection. Proceedings of the 21st Annual Computer Security Applications Conference (ACSAC 2005). 59-71.
Sommer, R., Weaver N., & Paxson V. (2010).  HILTI: An Abstract Execution Environment for High-Performance Network Traffic Analysis.
Sommer, R., Weaver N., & Paxson V. (2009).  An Architecture for Exploiting Multi-Core Processors to Parallelize Network Intrusion Prevention. Concurrency and Computation: Practice and Experience. 21(10), 1255-1279.
Sommer, R., & Paxson V. (2004).  Exploiting Independent State For Network Intrusion Detection.
Sommer, R., & Paxson V. (2010).  Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. 305-316.
Sommer, R., Amann J., & Hall S. (2015).  Spicy: A Unified Deep Packet Inspection Framework Dissecting All Your Data. ICSI Technical Report.
Sommer, R., Vallentin M., De Carli L., & Paxson V. (2014).  HILTI: An Abstract Execution Environment for Deep, Stateful Network Traffic Analysis.
Sommer, R., & Paxson V. (2003).  Enhancing Byte-Level Network Intrusion Detection Signatures with Context. Proceedings of ACM CCS.

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