Publications

Found 4228 results
[ Author(Asc)] Title Type Year
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E
Ellis, D. P. W. (1997).  Computational Auditory Scene Analysis Exploiting Speech-Recognition Knowledge. Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. 4.
Ellis, D. P. W., & Reyes M.. (2001).  Investigations Into Tandem Acoustic Modeling for the Aurora Taks. Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Ellis, D. P. W. (1999).  Using Knowledge to Organize Sound: The Prediction-driven Approach to Computational Auditory Scene Analysis and Its Application to Speech/Nonspeech Mixtures. Speech Communication. 27(3-4), 281-298.
Ellis, D. P. W. (1996).  Prediction-driven Computational Auditory Scene Analysis for Dense Sound Mixtures. Proceedings of the ESCA Workshop on the "Auditory Basis of Speech Perception".
Ellis, D. P. W., & Rosenthal D.. (1998).  Midlevel Representations for Computational Auditory Scene Analysis: The Weft Element. 257-272.
Elkon, R.., Linhart C.., Sharan R., Shamir R., & Shiloh Y.. (2003).  Genome-Wide In-silico Determination of Transcriptional Regulation Modules Controlling Cell Cycle in Human Cells. Genome Research. 773-780.
Elizalde, B. Martinez, Friedland G., Lei H., & Divakaran A. (2012).  There is No Data Like Less Data: Percepts for Video Concept Detection on Consumer-Produced Media. 27-32.
Elizalde, B. Martinez, Lei H., & Friedland G. (2013).  An I-Vector Representation of Acoustic Environments for Audio-Based Video Event Detection on User Generated Content. 114-117.
Elizalde, B. Martinez, Ravanelli M., Ni K., Borth D., & Friedland G. (2014).  Audio-Concept Features and Hidden Markov Models for Multimedia Event Detection.
Elizalde, B. Martinez, Ravanelli M., & Friedland G. (2013).  Audio Concepts for Video Event Detection on User-Generated Content.
Elizalde, B. Martinez, & Friedland G. (2013).  Taming the Wild: Acoustic Segmentation in Consumer?Produced Videos.
Elizalde, B. Martinez, Friedland G., & Ni K. (2013).  What You Hear Is What You Get: Audio-Based Video Content Analysis.
Elizalde, B. Martinez, Ravanelli M., & Friedland G. (2013).  Audio Concept Ranking for Video Event Detection on User-Generated Content.
Elizalde, B. Martinez, & Friedland G. (2013).  Lost in Segmentation: Three Approaches for Speech/Non-Speech Detection in Consumer-Produced Videos.
Elizalde, B. Martinez, Lei H., Friedland G., & Peters N. (2013).  Capturing the Acoustic Scene Characteristics for Audio Scene Detection.
Elizalde, B. Martinez, Raj B., Friedland G., Nolazco J., & Garcia L. (2012).  Segment and Conquer.
El-Yaniv, R., Fiat A., Karp R. M., & Turpin G. (1992).  Competitive Analysis of Financial Games.
El-Yaniv, R., Fiat A., Karp R. M., & Turpin G. (1992).  Competitive analysis of financial games. Proceedings 33rd Annual Symposium on Foundations of Computer Science. 327-333.
El-Yaniv, R., & Karp R. M. (1997).  Nearly Optimal Competitive Online Replacement Policies. 22,
El-Yaniv, R., & Karp R. M. (1993).  The mortgage problem. Proceedings of the Second Israel Symposium on Theory and Computing Systems . 304-312.
Eklund, R., Bates R., Kuyper C., Willingham E., & Shriberg E. (2006).  The Annotation and Analysis of Importance in Meetings.
Eisenhofer, T., Quiring E., Möller J., Riepel D., Holz T., & Rieck K. (In Press).  No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning. Proceedings of 32nd USENIX Security Symposium.
Ehrenfeucht, A., & Karpinski M. (1990).  The Computational Complexity of (XOR, AND)-Counting Problems.
Egelman, S., Bernd J., Friedland G., & Garcia D. D. (2016).  The Teaching Privacy Curriculum. Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE ’16), Memphis, TN. 591-596.
Egelman, S., & Peer E. (2015).  Predicting Privacy and Security Attitudes. Computers and Society: The Newsletter of ACM SIGCAS. 45(1), 22-28.

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