Publications

Found 4137 results
[ Author(Asc)] Title Type Year
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V
Virtue, P., Yu S. X., & Lustig M. (2017).  Better than Real: Complex-valued Neural Networks for MRI Fingerprinting. Proceedings of the International Conference on Image Processing 2017.
Virtanen, S., Jia Y., Klami A., & Darrell T. (2012).  Factorized Multi-Modal Topic Model.
Vinyals, O., Martin E., & Friedland G. (2010).  Multimodal Indoor Localization: An Audio-Wireless-Based Approach. 120-125.
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
Vinyals, O., & Friedland G. (2008).  Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings. 426-431.
Vinyals, O., & Morgan N. (2013).  Deep vs. Wide: Depth on a Budget for Robust Speech Recognition.
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.
Vigoda, E. (1999).  Fast Convergence of the Glauber Dynamics for Sampling Independent Sets: Part II.
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.
Vergyri, D., Stolcke A., & Tur G. (2009).  Exploiting User Feedback for Language Model Adaptation in Meeting Recognition. 4737-4740.
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.
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.
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.
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.
Vasuna, J., Scott C., Buettner M., Piatek M., Krishnamurthy A., & Shenker S. (2016).  Caching Doesn't Improve Mobile Web Performance (Much). Proceedings of the 2016 USENIX Annual Technical Conference (USENIC ATC ’16).

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