The goal of my research is to develop better tools for exploration and analysis of large data sets. My focus is on graph inference, dimension reduction and clustering problems, with applications to speech processing and neuroscience.
- V. Braverman, H. Lang, K. Levin and M. Monemizadeh. Clustering problems on sliding windows Proc. 27th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016.
- K. Levin, A. Jansen and B. Van Durme. Segmental acoustic indexing for zero resource keyword search. Proc. 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015.
- V. Braverman, H. Lang, K. Levin and M. Monemizadeh. Clustering on Sliding Windows in Polylogarithmic Space. Proc. 35th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), 2015.
- K. Levin, K. Henry, A. Jansen and K. Livescu. Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings. Proc. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013.
Last modified February 2017