Publications

Found 4189 results
[ Author(Desc)] Title Type Year
Filters: Filter is   [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
V
Vasallo, P. Reviriego (2000).  Variable Packet Size Equation Based Congestion Control.
Vasudeva, K., Simsek M., & López-Pérez D. (2017).  Analysis of Handover Failures in Heterogeneous Networks With Fading. IEEE Transactions on Vehicular Technology. 66(7), 
Vasuna, J., Scott C., Buettner M., Piatek M., Krishnamurthy A., & Shenker S. J. (2016).  Caching Doesn't Improve Mobile Web Performance (Much). Proceedings of the 2016 USENIX Annual Technical Conference (USENIC ATC ’16).
Veldt, N., Gleich D., & Mahoney M. W. (2016).  A Simple and Strongly-Local Flow-Based Method for Cut Improvement. Proceedings of the 33rd ICML Conference.
Venkataraman, A., Liu Y., Shriberg E., & Stolcke A. (2005).  Does Active Learning Help Automatic Dialog Act Tagging in Meeting Data?. Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech 2005-Eurospeech 2005). 2777-2780.
Venugopalan, S., Rohrbach M., Donahue J., Mooney R., Darrell T., & Saenko K. (2015).  Sequence to Sequence - Video to Text. The IEEE International Conference on Computer Vision (ICCV).
Venugopalan, S., Xu H., Donahue J., Rohrbach M., Mooney R., & Saenko K. (2015).  Translating Videos to Natural Language Using Deep Recurrent Neural Networks.
Vergyri, D., Mandal A., Wang W., Stolcke A., Zheng J., Graciarena M., et al. (2008).  Development of the SRI/Nightingale Arabic ASR system. 1437-1440.
Vergyri, D., Stolcke A., & Tur G. (2009).  Exploiting User Feedback for Language Model Adaptation in Meeting Recognition. 4737-4740.
Verma, D. C., Zhang H., & Ferrari D. (1991).  Delay Jitter Control for Real-Time Communication in a Packet Switching Network.
Verma, D. C., & Ferrari D. (1991).  Evaluation of Overflow Probabilities in Resource Management.
Vigoda, E. (1999).  Fast Convergence of the Glauber Dynamics for Sampling Independent Sets: Part II.
Vinyals, O., & Wegmann S. (2014).  Chasing the Metric: Smoothing Learning Algorithms for Keyword Detection.
Vinyals, O., & Friedland G. (2008).  A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy. 61-65.
Vinyals, O., Deng L., Yu D., & Acero A. (2009).  Discriminative Pronunciation Learning Using Phonetic Decoder and Minimum-Classification-Error Criterion. 4445-4448.
Vinyals, O., & Friedland G. (2008).  Modulation Spectrogram Features for Speaker Diarization. Proceedings of the 9th Annual Conference of the International Speech Communication Association (Interspeech 2008). 630-633.
Vinyals, O., & Ravuri S. (2011).  Comparing Multilayer Perceptron to Deep Belief Network Tandem Features for Robust ASR.
Vinyals, O., Jia Y., & Darrell T. (2013).  Why Size Matters: Feature Coding as Nystrom Sampling.
Vinyals, O., & Friedland G. (2008).  Live Speaker Identification in Meetings:.
Vinyals, O., Friedland G., & Mirghafori N. (2007).  Revisiting a Basic Function on Current CPUs: A Fast Logarithm Implementation with Adjustable Accuracy.
Vinyals, O., Friedland G., & Morgan N. (2010).  Discriminative Training for Hierarchical Clustering in Speaker Diarization. 2326-2329.
Vinyals, O., Martin E., & Friedland G. (2010).  Multimodal Indoor Localization: An Audio-Wireless-Based Approach. 120-125.
Vinyals, O., & Friedland G. (2008).  Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings. 426-431.
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
Vinyals, O., & Morgan N. (2013).  Deep vs. Wide: Depth on a Budget for Robust Speech Recognition.

Pages