Publications

Found 4137 results
[ Author(Desc)] Title Type Year
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Yang, J., Sindhwani V., Fan Q., Avron H., & Mahoney M. W. (2014).  Random Laplace Feature Maps for Semigroup Kernels on Histograms.
Yang, J., Mahoney M. W., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.
Yang, J., Meng X., & Mahoney M. W. (2015).  Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments.
Yang, H. Hua, van Vuuren S., & Hermansky H. (1999).  Relevancy of Time Frequency Features for Phonetic Classification Measured by Mutual Information. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1999).
Yang, H. Hua, & Moody J. (1999).  Feature Selection Based on Joint Mutual Information.
Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data. Nature Genetics. 44, 725-731.
Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data.
Yao, F., Demers A. J., & Shenker S. (1995).  A Scheduling Model for Reduced CPU Energy. Proceedings of the 36th IEEE Annual Symposium on Foundations of Computer Science (FOCS). 374-382.
Yao, Z.., Gholami A.., Xu P.., Keutzer K.., & Mahoney M.. W. (2019).  Trust Region Based Adversarial Attack on Neural Networks. Proceedings of the 32nd CVPR Conference. 11350-11359.
Yao, Z.., Gholami A.., Lei Q.., Keutzer K.., & Mahoney M.. W. (2018).  Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. Proceedings of the 2018 NeurIPS Conference. 4954-4964.
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Yegneswaran, V., Barford P., & Paxson V. (2005).  Using Honeynets for Internet Situational Awareness. Proceedings of the Fourth Workshop on Hot Topics in Networks (Hotnets-IV).
Yeh, T., Lee J. J., & Darrell T. (2009).  Fast Concurrent Object Localization and Recognition. 280-287.
Yeh, T., Lee J. J., & Darrell T. (2008).  Photo-Based Question Answering. 389-398.
Yeh, T., & Darrell T. (2008).  Dynamic Visual Category Learning.
Yeom, S., & Tschantz M. Carl (2018).  Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Yiin-Chang, S., & Morgan N. (2016).  Robust CNN - based Speech Recognition With Gabor Filter Kernels. Proceedings of Interspeech 2016.
Yosef, N.., Gramm J., Wang Q.-F.., Noble W.. S., Karp R. M., & Sharan R. (2010).  Prediction of Phenotype Information from Genotype Data. Communications in Information and Systems. 10(2), 99-114.
Yoshida, M., Ikeda C., & Suzuki H. (1994).  An Evaluation of Burst-level Bandwidth Reservation Methods in WANEnvironments.
Yu, S. X., & Zipser K. (2016).  A Deep Neural Net Trained for Person Categorization Develops Both Detailed Local Features and Broad Contexual Specificities. Poster at Vision Sciences Society Annual Meeting.
Yu, H., Breslau L., & Shenker S. (1999).  A Scalable Web Cache Consistency Architecture. Proceedings of the ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (SIGCOMM '99). 163-174.
Yu, S. X. (2012).  Angular Embedding: A Robust Quadratic Criterion. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 34(1), 158-173.
Yu, D., Hinton G., Morgan N., Chien J-T., & Sagayama S. (2012).  Introduction to the Special Section on Deep Learning for Speech and Language Processing. IEEE Transactions on Audio. 20(1), 4-6.
Yu, S. X., & Lisin D. (2013).  Change Blindness Reveals Distinctive Featural Processing in Size, Color, and Orientation.

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