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., & Rosenthal D.. (1998).  Midlevel Representations for Computational Auditory Scene Analysis: The Weft Element. 257-272.
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".
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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