Travelled to:1 × France
5 × USA
Collaborated with:J.Hershberger N.Shrivastava S.Gandhi S.Nath J.Liu C.D.Tóth S.Mysore B.Agrawal T.Sherwood N.H.Bshouty S.A.Goldman H.D.Mathias H.Tamaki Y.Li P.Kamousi F.Han S.Yang X.Yan
Talks about:data (3) geometr (2) stream (2) multi (2) adapt (2) distribut (1) dimension (1) shortest (1) hierarch (1) compress (1)
Person: Subhash Suri
DBLP: Suri:Subhash
Contributed to:
2013
2009
2006
20052004
19961993Wrote 7 papers:
- VLDB-2013-LiKHYYS #clustering #memory management #performance #string
- Memory Efficient Minimum Substring Partitioning (YL, PK, FH, SY, XY, SS), pp. 169–180.
- SIGMOD-2009-GandhiNSL #multi #named #scalability
- GAMPS: compressing multi sensor data by grouping and amplitude scaling (SG, SN, SS, JL), pp. 771–784.
- CGO-2006-MysoreASSS #adaptation #profiling
- Profiling over Adaptive Ranges (SM, BA, TS, NS, SS), pp. 147–158.
- PODS-2005-HershbergerSST #complexity #data type #multi
- Space complexity of hierarchical heavy hitters in multi-dimensional data streams (JH, NS, SS, CDT), pp. 338–347.
- PODS-2004-HershbergerS #adaptation #data type #geometry #problem
- Adaptive Sampling for Geometric Problems over Data Streams (JH, SS), pp. 252–262.
- STOC-1996-BshoutyGMST #concept #geometry #learning
- Noise-Tolerant Distribution-Free Learning of General Geometric Concepts (NHB, SAG, HDM, SS, HT), pp. 151–160.
- STOC-1993-HershbergerS #matrix #metric
- Matrix searching with the shortest path metric (JH, SS), pp. 485–494.