Travelled to:1 × China
1 × France
1 × Greece
1 × Korea
11 × USA
2 × Canada
Collaborated with:J.Yang R.Sharathkumar L.Arge K.Yi A.Yu J.Erickson Y.Wu C.Li C.Yu N.H.Mustafa J.Matousek J.S.Vitter W.Zhang J.M.Phillips P.Raghavan H.Tamaki A.Efrat S.Sankararaman S.Cheng Y.Tao J.Xie H.Yu C.M.Procopiuc M.Jones T.M.Murali O.Procopiuc B.Chandramouli Y.Zheng P.G.Franciosa B.Aronov S.Har-Peled G.Cormode Z.Huang Z.Wei B.Walenz P.Li A.Shim E.Sonmez
Talks about:search (4) algorithm (3) index (3) uncertainti (2) neighbor (2) bipartit (2) approxim (2) scalabl (2) project (2) process (2)
Person: Pankaj K. Agarwal
DBLP: Agarwal:Pankaj_K=
Contributed to:
2014
2014
2014
2013
201220122012201220092008200620042002
20012000199819951992Wrote 19 papers:
- SIGMOD-2014-WuWLSSALYY #named #statistics
- iCheck: computationally combating “lies, d-ned lies, and statistics” (YW, BW, PL, AS, ES, PKA, CL, JY, CY), pp. 1063–1066.
- STOC-2014-AgarwalS #algorithm #approximate #geometry #metric
- Approximation algorithms for bipartite matching with metric and geometric costs (PKA, RS), pp. 555–564.
- VLDB-2014-WuAL0Y #towards
- Toward Computational Fact-Checking (YW, PKA, CL, JY, CY), pp. 589–600.
- PODS-2013-AgarwalAHPYZ #nearest neighbour #nondeterminism
- Nearest neighbor searching under uncertainty II (PKA, BA, SHP, JMP, KY, WZ), pp. 115–126.
- KDD-2012-WuALYY #on the
- On “one of the few” objects (YW, PKA, CL, JY, CY), pp. 1487–1495.
- PODS-2012-AgarwalCHPWY #summary
- Mergeable summaries (PKA, GC, ZH, JMP, ZW, KY), pp. 23–34.
- PODS-2012-AgarwalESZ #nearest neighbour #nondeterminism
- Nearest-neighbor searching under uncertainty (PKA, AE, SS, WZ), pp. 225–236.
- SIGMOD-2012-YuAY #query #scalability
- Processing a large number of continuous preference top-k queries (AY, PKA, JY), pp. 397–408.
- STOC-2012-SharathkumarA #algorithm #approximate #geometry
- A near-linear time ε-approximation algorithm for geometric bipartite matching (RS, PKA), pp. 385–394.
- PODS-2009-AgarwalCTY #nondeterminism
- Indexing uncertain data (PKA, SWC, YT, KY), pp. 137–146.
- SIGMOD-2008-ChandramouliYAYZ #named #scalability
- ProSem: scalable wide-area publish/subscribe (BC, JY, PKA, AY, YZ), pp. 1315–1318.
- VLDB-2006-AgarwalXYY #query #scalability
- Scalable Continuous Query Processing by Tracking Hotspots (PKA, JX, JY, HY), pp. 31–42.
- PODS-2004-AgarwalM #clustering
- k-Means Projective Clustering (PKA, NHM), pp. 155–165.
- SIGMOD-2002-ProcopiucJAM #algorithm #clustering #monte carlo #performance
- A Monte Carlo algorithm for fast projective clustering (CMP, MJ, PKA, TMM), pp. 418–427.
- ICALP-2001-AgarwalAPV #framework
- A Framework for Index Bulk Loading and Dynamization (PKA, LA, OP, JSV), pp. 115–127.
- PODS-2000-AgarwalAE
- Indexing Moving Points (PKA, LA, JE), pp. 175–186.
- PODS-1998-AgarwalAEFV #constraints #linear #performance
- Efficient Searching with Linear Constraints (PKA, LA, JE, PGF, JSV), pp. 169–178.
- STOC-1995-AgarwalRT
- Motion planning for a steering-constrained robot through moderate obstacles (PKA, PR, HT), pp. 343–352.
- STOC-1992-AgarwalM #parametricity
- Ray Shooting and Parametric Search (PKA, JM), pp. 517–526.