Travelled to:
1 × Canada
1 × Germany
1 × Korea
1 × The Netherlands
1 × United Kingdom
3 × USA
Collaborated with:
H.Luo Y.Gao M.Hacid X.Wu K.R.Subramanian B.Tu J.Zhan X.Zhao B.Li M.Chi X.Xue S.Satoh W.Ribarsky E.Bertino G.Xu J.Xiao L.Wu S.Liu Y.Liu L.M.Ni M.Li
Talks about:
video (4) imag (4) cluster (3) classif (3) semant (3) classifi (2) approach (2) concept (2) automat (2) annot (2)
Person: Jianping Fan
DBLP: Fan:Jianping
Contributed to:
Wrote 11 papers:
- KDD-2010-LiuLNFL #clustering #towards
- Towards mobility-based clustering (SL, YL, LMN, JF, ML), pp. 919–928.
- PDP-2009-TuFZZ #clustering #manycore #message passing #modelling
- Accurate Analytical Models for Message Passing on Multi-core Clusters (BT, JF, JZ, XZ), pp. 133–139.
- ICML-2007-LiCFX #clustering
- Support cluster machine (BL, MC, JF, XX), pp. 505–512.
- SAC-2007-LuoFSR #database #retrieval #scalability #video #visualisation
- Large scale news video database browsing and retrieval via information visualization (HL, JF, SS, WR), pp. 1086–1087.
- SIGIR-2007-FanGL #automation #classification #image
- Hierarchical classification for automatic image annotation (JF, YG, HL), pp. 111–118.
- CIKM-2005-FanLHB #approach #novel #privacy #video
- A novel approach for privacy-preserving video sharing (JF, HL, MSH, EB), pp. 609–616.
- KDD-2005-FanLH #image #learning #mining #semantics #statistics
- Mining images on semantics via statistical learning (JF, HL, MSH), pp. 22–31.
- SIGIR-2004-FanGLX #automation #concept #image #representation #using
- Automatic image annotation by using concept-sensitive salient objects for image content representation (JF, YG, HL, GX), pp. 361–368.
- SIGIR-2004-FanL #classification #semantics #video
- Semantic video classification by integrating unlabeled samples for classifier training (JF, HL), pp. 592–593.
- KDD-2002-WuFS #approach #classification #data mining #mining #named
- B-EM: a classifier incorporating bootstrap with EM approach for data mining (XW, JF, KRS), pp. 670–675.
- JCDL-2004-FanLXW #classification #concept #nondeterminism #semantics #set #video
- Semantic video classification and feature subset selection under context and concept uncertainty (JF, HL, JX, LW), pp. 192–201.