Publications

Found 4228 results
[ Author(Asc)] Title Type Year
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Z
Zhu, Q., Chen B. Y., Morgan N., & Stolcke A. (2004).  Tandem Connectionist Feature Extraction for Conversational Speech Recognition. Proceedings of the First International Workshop on Machine Learning for Multimodal Interaction (MLMI 2004).
Zhu, Q., Chen B. Y., Grezl F., & Morgan N. (2005).  Improved MLP Structures for Data-Driven Feature Extraction for ASR. Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech 2005-Eurospeech 2005). 2129-2132.
Zhu, Q., Chen B. Y., Morgan N., & Stolcke A. (2004).  On Using MLP Features in LVCSR. Proceedings of International Conference on Spoken Language Processing.
Zhu, Q., Stolcke A., Chen B. Y., & Morgan N. (2004).  Incorporating Tandem/HATs MLP Features into SRI's Conversational Speech Recognition System. Proceedings of the EARS RT-04F Workshop.
Zhu, Q., Stolcke A., Chen B. Y., & Morgan N. (2005).  Using MLP Features in SRI's Conversational Speech Recognition System. Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech 2005-Eurospeech 2005). 2141-2144.
Zhou, K., Mo L., Kay P., Kwok V.. P. Y., Ip T. N. M., & Tan L. Hai (2010).  Newly Trained Lexical Categories Produce Lateralized Categorical Perception of Color. 107(22), 9974-9978.
Zhou, T., Lee Y. Jae, Yu S. X., & Efros A. A. (2015).  FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences.
Zheng, J., etin Ö. Ç., Huang M.-Y.., Lei X., Stolcke A., & Morgan N. (2007).  Combining Discriminative Feature, Transform, and Model Training for Large Vocabulary Speech Recognition. 4, 633-636.
Zheng, C., Shen G., Li S., & Shenker S. J. (2006).  Distributed Segment Tree: Support Range Query and Cover Query over DHT. Proceedings of the Fifth International Workshop on Peer-to-Peer Systems (IPTPS).
Zheng, X., Jiang J., Liang J., Duan H., Chen S.., Wan T., et al. (2015).  Cookies Lack Integrity: Real-World Implications. 707-721.
Zheng, J., & Stolcke A. (2007).  fMPE-MAP: Improved Discriminative Adaptation for Modeling New Domains. 1573-1576.
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.
Zhao, S. Y., Ravuri S., & Morgan N. (2009).  Multi-Stream to Many-Stream: Using Spectro-Temporal Features for ASR. 2951-2954.
Zhao, S. Y., & Morgan N. (2008).  Multi-Stream Spectro-Temporal Features for Robust Speech Recognition. 898-901.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Zhang, M., Karp B., Floyd S., & Peterson L. (2002).  Improving TCP's Performance Under Reordering with DSACK.
Zhang, T.., Yao Z.., Gholami A.., Keutzer K.., Gonzalez J.., Biros G.., et al. (2019).  ANODEV2: A Coupled Neural ODE Evolution Framework. Proceedings of the 2019 NeurIPS Conference.
Zhang, Y., Breslau L., Paxson V., & Shenker S. J. (2002).  On the Characteristics and Origins of Internet Flow Rates. Proceedings of the ACM SIGCOMM Conference. 309-322.
Zhang, J., & Morgan N. (1990).  Stochastic Model-Based Image Segmentation Using Markov Random Fields and Multi-Layer Perceptrons.
Zhang, L., Michel S.., Nguyen K.., Rosenstein A.., Floyd S., & Jacobson V. (1998).  Adaptive Web Caching: Towards a New Global Caching Architecture. Proceedings of the Third International WWW Caching Workshop.
Zhang, L., Deering S., Estrin D., Shenker S. J., & Zappala D. (1993).  RSVP: A Resource ReSerVation Protocol. IEEE Network Magazine. 7(5), 8-18.
Zhang, Y., Paxson V., & Shenker S. J. (2000).  The Stationarity of Internet Path Properties: Routing, Loss, and Throughput.
Zhang, Y., Breslau L., Paxson V., & Shenker S. J. (2002).  On the Characteristics and Origins of Internet Flow Rates. ACM SIGCOMM Computer Communication Review. 32(4), 309-322.
Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.

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