Publications

Found 4258 results
Author [ Title(Desc)] Type Year
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S
Batten, C., Krashinsky R., & Asanović K. (2007).  Scale Control Processor Test-chip.
Krashinsky, R., Batten C., & Asanović K. (2007).  The Scale Vector-Thread Processor.
Morgan, N., Tajchman G., Mirghafori N., Konig Y., & Wooters C. (1994).  Scaling a Hybrid HMM/MLP System for Large Vocabulary CSR. 123-124.
Shenker, S. J. (1982).  Scaling Behavior in a Map of a Circle onto Itself: Empirical Results. Physica D: Nonlinear Phenomena. 5(2-3), 405-411.
Chang, N., Feldman J., Porzel R., & Sanders K. (2002).  Scaling Cognitive Linguistics: Formalisms for Language Understanding.
Heffner, W. (1995).  Scaling Issues in the Design and Implementation of the Tenet RCAP2 Signaling Protocol.
Phillips, G., Shenker S. J., & Tangmunarunkit H. (1999).  Scaling of Multicast Trees: Comments on the Chuang-Sirbu Scaling Law. Proceedings of the ACM Annual Conference of the Special Interest Group on Data Communication (SIGCOMM). 41-51.
Willinger, W., Govindan R., Jamin S., Paxson V., & Shenker S. J. (2002).  Scaling Phenomena in the Internet: Critically Examining Criticality. Proceedings of National Academy of Science of the United States of America (PNAS). 99,
Egelman, S., & Peer E. (2015).  Scaling the Security Wall: Developing a Security Behavior Intentions Scale (SeBIS). Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’15).
Mok, E., Bryant J., & Feldman J. (2004).  Scaling Understanding Up to Mental Spaces. Proceedings of ScaNaLU-2004.
Morgan, N., Chen B. Y., Zhu Q., & Stolcke A. (2004).  Scaling Up: Learning Large-Scale Recognition Methods from Small-Scale Recognition Tasks. Special Workshop in Maui(SWIM).
Morgan, N., Chen B. Y., Zhu Q., & Stolcke A. (2003).  Scaling Up: Learning Large-Scale Recognition Methods from Small-Scale Recognition Tasks.
Bano, S.., Richter P.., Javed M.., Sundaresan S.., Durumeric Z.., Murdoch S.. J., et al. (2018).   Scanning the Internet for Liveness. Computer Communication Review. 48(2), 
Baraldi, A. (1998).  Scatter-Partitioning RBF Network for Function Regression and Image Segmentation: Preliminary Results.
Shelhamer, E., Barron J. T., & Darrell T. (2015).  Scene Intrinsics and Depth From a Single Image. The IEEE International Conference on Computer Vision (ICCV) Workshops.
Fillmore, C. J. (1977).  Scenes-and-frames semantics, Linguistic Structures Processing. 55-88.
Weiser, M., Welch B., Demers A. J., & Shenker S. J. (1994).  Scheduling for Reduced CPU Energy. Proceedings of the First USENIX Symposium on Operating Systems Design and Implementation (OSDI). 13-23.
Yao, F., Demers A. J., & Shenker S. J. (1995).  A Scheduling Model for Reduced CPU Energy. Proceedings of the 36th IEEE Annual Symposium on Foundations of Computer Science (FOCS). 374-382.
Adler, M., Byers J. W., & Karp R. M. (1995).  Scheduling parallel communication: the h-relation problem. Proceedings of the 20th International Mathematical Foundations of Computer Science Symposium, (MFCS '95). 1-20.
Adler, M., Byers J. W., & Karp R. M. (1995).  Scheduling Parallel Communication: The h-Relation Problem.
Schmidt, G. (1998).  Scheduling with Limited Machine Availability.
Li, M. (2003).  SchemaDB - An Extensible Schema Database System Using ECG Representation.
Freksa, C., Moratz R., & Barkowsky T. (1999).  Schematic Maps for Robot Navigation.
Ferrari, D., & Verma D. C. (1989).  A Scheme for Real-Time Channel Establishment in Wide-Area Networks.
Feldman, J. (1977).  The Science of Artificial Intelligence.

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