28 citations · 325 across the 73 of their papers we have counts for
12 papers · 1 filter
Six Dimensional Streaming Algorithm for Cluster Finding in N-Body Simulations
Aidan Reilly, Nikita Ivkin, Gerard Lemson +2
Cosmological N-body simulations are crucial for understanding how the Universe evolves. Studying large-scale distributions of matter in these simulations and comparing them to obse…
Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms
Zaoxing Liu, Samson Zhou, Ori Rottenstreich +2
Network performance problems are notoriously difficult to diagnose. Prior profiling systems collect performance statistics by keeping information about each network flow, but maint…
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results
Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner. Shivani Ahlawat +3
A current clinical challenge is identifying limb girdle muscular dystrophy 2I(LGMD2I)tissue changes in the thighs, in particular, separating fat, fat-infiltrated muscle, and muscle…
Improved Algorithms for Time Decay Streams
Vladimir Braverman, Harry Lang, Enayat Ullah +1
In the time-decay model for data streams, elements of an underlying data set arrive sequentially with the recently arrived elements being more important. A common approach for hand…
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan +1
Spectral functions of large matrices contains important structural information about the underlying data, and is thus becoming increasingly important. Many times, large matrices re…
Coresets for Clustering in Graphs of Bounded Treewidth
Daniel Baker, Vladimir Braverman, Lingxiao Huang +3
We initiate the study of coresets for clustering in graph metrics, i.e., the shortest-path metric of edge-weighted graphs. Such clustering problems are essential to data analysis a…