Publications

Found 4228 results
[ Author(Desc)] Title Type Year
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G
Gilge, M. (1991).  Distortion Accumulation in Image Transform Coding/Decoding Cascades.
Gillick, D., Gillick L., & Wegmann S. (2011).  Don't Multiply Lightly: Quantifying Problems with the Acoustic Model Assumptions in Speech Recognition.
Gillick, D., Stafford S., & Peskin B. (2005).  Speaker Detection Without Models. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005). 757-760.
Gillick, D., Wegmann S., & Gillick L. (2012).  Discriminative Training for Speech Recognition is Compensating for Statistical Dependence on the HMM Framework. 4745-4748.
Gillick, D. (2010).  Can Conversational Word Usage Be Used to Predict Speaker Demographics?.
Gillick, D., Riedhammer K., Favre B., & Hakkani-Tür D. (2009).  A Global Optimization Framework for Meeting Summarization. 4769-4772.
Gillick, D., Hakkani-Tür D., & Levit M. (2008).  Unsupervised Learning of Edit Parameters for Matching Name Variants. 467-470.
Gillick, D., & Favre B. (2009).  A Scalable Global Model for Summarization. 10-18.
Gillick, D., Favre B., & Hakkani-Tür D. (2008).  The ICSI Summarization System at TAC 2008.
Girshick, R., Song H. Oh, & Darrell T. (2013).  Discriminatively Activated Sparselets.
Girshick, R., Donahue J., Darrell T., & Malik J. (2014).  Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.
Girshick, R., Iandola F., Darrell T., & Malik J. (2015).  Deformable Part Models are Convolutional Neural Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 437-446.
Girshick, R., Donahue J., Darrell T., & Malik J. (2016).  Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(1), 142-158.
Gittens, A.., Rothauge K.., Mahoney M., Wang S.., Gerhardt L.., Prabhat, et al. (2018).  Alchemist: An Apache Spark <=> MPI Interface. Concurrency and Computation: Practice and Experience (Special Issue of the Cray User Group, CUG 2018), e5026.
Gittens, A., Kottalam J., Yang J., Ringenburg M. F., Chhugani J., Racah E., et al. (2016).  A multi-platform evaluation of the randomized CX low-rank matrix factorization in Spark. Proceedings of the 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics.
Gittens, A., Devarakonda A., Racah E., Ringenburg M., Gerhardt L., Kottalam J., et al. (2016).  Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies.
Gittens, A.., Rothauge K.., Wang S.., Mahoney M., Gerhardt L.., Prabhat, et al. (2018).  Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. Proceedings of the 24th Annual SIGKDD. 293-301.
Gleich, D., & Mahoney M. (2014).  Anti-Differentiating Approximation Algorithms: A Case Study with Min-Cuts, Spectral, and Flow.
Gleich, D., & Mahoney M. (2015).  Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. Proceedings of the 21st Annual SIGKDD.
Gleich, D., & Mahoney M. (2016).  Mining Large graphs. Handbook of Big Data. 191-220.
Gloe, T., & Boehme R. (2010).  The "Dresden Image Database" for Benchmarking Digital Image Forensics. Proceedings of the 25th ACM Symposium on Applied Computing (ACM SAC 2010). 1584-1590.
Gloe, T., Pfennig S., & Kirchner M. (2012).  Unexpected Artefacts in PRNU-Based Camera Identification: A "Dresden Image Database" Case-Study. 109-114.
P. Godfrey, B., Schapira M., Zohar A.., & Shenker S. J. (2010).  Incentive Compatibility and Dynamics of Congestion Control. ACM SIGMETRICS Performance Evaluation Review. 36(1), 95-106.
P. Godfrey, B., Karp R. M., Lakshminarayanan K., Surana S., & Stoica I. (2004).  Load Balancing in Dynamic Structured P2P Systems. Proceedings of INFOCOMM.
P. Godfrey, B., Shenker S. J., & Stoica I. (2006).  Minimizing Churn in Distributed Systems. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2006). 147-158.

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