Found 4166 results
Author Title Type [ Year(Asc)]
Castelluccia, C., Duermuth M., & Imamoglu F. (2014).  Learning from Neuroscience to Improve Internet Security. ERCIM News. 99, 46.
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
Khattak, S., Javed M., Khayam S. Ali, Uzmi Z. Afzal, & Paxson V. (2014).  A Look at the Consequences of Internet Censorship Through an ISP Lens.
Marczak, B., Guarnieri C., Marquis-Boire M., & Scott-Railton J. (2014).  Mapping Hacking Team's "Untraceable" Spyware. The Citizen Lab.
Passonneau, R. J., Ide N., Baker C. F., Fellbaum C., & Xie B.. (2014).  MASC Word Sense Sentence Corpus, Tab-Separated Format.
Durumeric, Z., Li F., Kasten J., Amann J., Beekman J., Payer M., et al. (2014).  The Matter of Heartbleed.
Czyz, J., Allman M., Zhang J., Iekel-Johnson S., Osterweil E., & Bailey M. (2014).  Measuring IPv6 Adoption.
Craven, R., Beverly R., & Allman M. (2014).  A Middlebox-Cooperative TCP for a Non End-to-End Internet.
Xiong, Y., Scharstein D., Chakrabarti A., Darrell T., Sun B., Saenko K., et al. (2014).  Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11), 2185-2198.
Tschantz, M. Carl, Afroz S., Paxson V., & Tygar J.D.. (2014).  On Modeling the Costs of Censorship. CoRR. abs/1409.3211,
Sargent, M., Blanton E., & Allman M. (2014).  Modern Application Layer Transmission Patterns from a Transport Perspective.
Ravuri, S., & Stolcke A. (2014).  Neural Network Models for Lexical Addressee Detection.
Mahoney, M. W. (2014).  A New Spin on an Old Algorithm: Technical Perspective on "Communication Costs of Strassen's Matrix Multiplication". Communications of the ACM. 57(2), 106.
Hoffman, J., Tzeng E., Donahue J., Jia Y., Saenko K., & Darrell T. (2014).  One-Shot Adaptation of Supervised Deep Convolutional Models.
Guadarrama, S., Rodner E., Saenko K., Zhang N., Farrell R., Donahue J., et al. (2014).  Open-Vocabulary Object Retrieval.
Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Sargent, M., & Allman M. (2014).  Performance Within A Fiber-To-The-Home Network. ACM SIGCOMM Computer Communication Review. 44(3), 23-30.
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.
Yang, J., Sindhwani V., Avron H., & Mahoney M. W. (2014).  Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels.
Yang, J., Sindhwani V., Fan Q., Avron H., & Mahoney M. W. (2014).  Random Laplace Feature Maps for Semigroup Kernels on Histograms.
Karayev, S., Hertzmann A., Winnemoeller H., Agarwala A., & Darrell T. (2014).  Recognizing Image Style.
Maire, M., Yu S. X., & Perona P. (2014).  Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.
Li, H., Ghodsi A., Zaharia M., Shenker S., & Stoica I. (2014).  Reliable, Memory Speed Storage for Cluster Computing Frameworks.