Publications

Found 202 results
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F
Milanese, R. (1994).  Feature Binding Through Synchronized Neuronal Oscillations: A Preliminary Study.
Graciarena, M., Alwan A., Ellis D. P. W., Franco H., Ferrer L., Hansen J. H. L., et al. (2013).  Feature Combination for Highly Channel-Degraded Speech Activity Detection.
Kingsbury, B., Greenberg S., & Morgan N. (2001).  Feature extraction for automatic speech recognition.
Sharma, S., Ellis D. P. W., Kajarekar S., Jain P., & Hermansky H. (2000).  Feature Extraction Using Non-Linear Transformation for Robust Speech Recognition on the Aurora Database. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000).
Yang, H. Hua, & Moody J. (1999).  Feature Selection Based on Joint Mutual Information.
Xing, E. P., Jordan M. I., & Karp R. M. (2001).  Feature Selection for High-Dimensional Genomic Microarray Data. Proceedings of the 18th International Conference on Machine Learning (ICML 2001). 601-608.
Gil, S., Milanese R., & Pun T. (1994).  Feature Selection for Object Tracking in Traffic Scenes.
Somervuo, P., Chen B. Y., & Zhu Q. (2003).  Feature Transformations and Combinations for Improving ASR Performance. Proceedings of EUROSPEECH 2003.
Graciarena, M., Bocklet T., Shriberg E., Stolcke A., & Kajarekar S. (2009).  Feature-Based and Channel-Based Analyses of Intrinsic Variability in Speaker Verification. 2015-2018.
Yang, J., Mahoney M. W., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.
Stern, R. M., & Morgan N. (2012).  Features Based on Auditory Physiology and Perception. 193-227.
Floyd, S., & Karp R. M. (1986).  FED bin packing for item sizes with distributions on (0,1/2). Proceedings of the 27th Annual Symposium on Foundations of Computer Science. 322-330.
Neumann, F., Sudholt D., & Witt C. (2010).  A Few Ants Are Enough: ACO with Iteration-Best Update. 63-70.
Floyd, S., & Karp R. M. (1991).  FFD bin packing for item sizes with uniform distributions on (0, 1/2). 6(2), 222-240.
Krell, M. Michael, Bernd J., Li Y., Ma D., Choi J., Ellsworth M., et al. (2017).  Field Studies with Multimedia Big Data: Opportunities and Challenges.
Allman, M., Blanton E., Paxson V., & Shenker S. (2006).  Fighting Coordinated Attackers with Cross-Organizational Information on Sharing. Proceedings of the Fifth Workshop on Hot Topics in Networks (Hotnets-V). 121-126.
Zipser, K., Yu S. X., & Olshausen B. A. (2015).  Figure-Ground Organization Emerges in a Deep Net with a Feedback Loop.
Moody, J., Turner E.. L., & Gott, III J.. R. (1983).  Filamentary Galaxy Clustering: A Mapping Algorithm. Astrophysical Journal. 273, 16-23.
Fillmore, C. J. (1990).  Fillmore on Language and Teaching. Moderna Sprak. 84(2), 105-113.
Saenko, K., & Darrell T. (2009).  Filtering Abstract Sense from Image Search Results.
Huijbregts, M., Wooters C., & Ordelman R. (2007).  Filtering the Unknown: Speech Activity Detection in Heterogeneous Video Collections. 2925-2928.
Morgan, N., Cohen J., Parthasarathi S. Hari Krish, Chang S-Y., & Wegmann S. (2013).  Final Report: OUCH Project (Outing Unfortunate Characteristics of HMMs).
Satopaa, V.., Albrecht J., Irwin D., & Raghavan B. (2010).  Finding a ‘Kneedle’ in a Haystack: Detecting Knee Points in System Behavior.
Schwarz, C., Teich J., Welzl E., & Evans B. (1994).  On Finding a Minimal Enclosing Parallelgram.
Stoll, L. (2011).  Finding Difficult Speakers in Automatic Speaker Recognition.

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