Travelled to:
1 × Canada
1 × China
1 × Finland
1 × Israel
1 × United Kingdom
3 × USA
Collaborated with:
S.Kumar J.Wang W.Liu J.He T.Jebara S.Ebadollahi F.X.Yu Y.Gong K.McKeown D.Liu Y.Mu A.V.Aho D.R.Radev J.R.Smith K.A.Zaman J.J.Cimino S.Feiner C.Friedman L.Gravano V.Hatzivassiloglou S.Johnson D.A.Jordan J.Klavans A.Kushniruk V.L.Patel S.Teufel
Talks about:
search (4) learn (4) graph (4) hash (4) multimedia (2) construct (2) supervis (2) scalabl (2) compact (2) system (2)
Person: Shih-Fu Chang
DBLP: Chang:Shih=Fu
Contributed to:
Wrote 13 papers:
- ICML-c2-2014-YuKGC
- Circulant Binary Embedding (FXY, SK, YG, SFC), pp. 946–954.
- ICML-c3-2013-YuLKJC #learning
- ∝SVM for Learning with Label Proportions (FXY, DL, SK, TJ, SFC), pp. 504–512.
- ICML-2012-HeKC #nearest neighbour #on the
- On the Difficulty of Nearest Neighbor Search (JH, SK, SFC), p. 9.
- ICML-2012-LiuWMKC
- Compact Hyperplane Hashing with Bilinear Functions (WL, JW, YM, SK, SFC), p. 64.
- ICML-2011-LiuWKC #graph
- Hashing with Graphs (WL, JW, SK, SFC), pp. 1–8.
- ICML-2010-LiuHC #graph #learning #scalability
- Large Graph Construction for Scalable Semi-Supervised Learning (WL, JH, SFC), pp. 679–686.
- ICML-2010-WangKC #learning
- Sequential Projection Learning for Hashing with Compact Codes (JW, SK, SFC), pp. 1127–1134.
- KDD-2010-HeLC #kernel #scalability #similarity
- Scalable similarity search with optimized kernel hashing (JH, WL, SFC), pp. 1129–1138.
- ICML-2009-JebaraWC #graph #learning
- Graph construction and b-matching for semi-supervised learning (TJ, JW, SFC), pp. 441–448.
- ICML-2008-WangJC #graph
- Graph transduction via alternating minimization (JW, TJ, SFC), pp. 1144–1151.
- ADL-1997-AhoCMRSZ #multi
- Columbia Digital News System An Environment for Briefing and Search over Multimedia Information (AVA, SFC, KM, DRR, JRS, KAZ), pp. 82–94.
- JCDL-2001-EbadollahiC #generative #segmentation #summary
- View segmentation and static/dynamic summary generation for echocardiogram videos (SE, SFC), p. 456.
- JCDL-2001-McKeownCCFFGHJJKKPT #multi #personalisation #summary
- PERSIVAL, a system for personalized search and summarization over multimedia healthcare information (KM, SFC, JJC, SF, CF, LG, VH, SJ, DAJ, JK, AK, VLP, ST), pp. 331–340.