Found 4184 results
[ Author(Desc)] Title Type Year
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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., & Ferrari D. (1991).  Evaluation of Overflow Probabilities in Resource Management.
Verma, D. C., Zhang H., & Ferrari D. (1991).  Delay Jitter Control for Real-Time Communication in a Packet Switching Network.
Vigoda, E. (1999).  Fast Convergence of the Glauber Dynamics for Sampling Independent Sets: Part II.
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.
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.
Virtanen, S., Jia Y., Klami A., & Darrell T. (2012).  Factorized Multi-Modal Topic Model.
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.
Vo, H., Lee Y., Waterman A., & Asanović K. (2013).  A Case for OS-Friendly Hardware Accelerators.
Voelkel, L. (1995).  On the Problem of Masking Special Errors by Signature Analyzers.