Travelled to:1 × Australia
1 × Austria
1 × China
1 × Singapore
1 × USA
Collaborated with:L.Hsieh C.Tsai Y.Kuo W.Liao K.Chen C.Wu T.Mei Y.Rui Y.Lei Y.Chen B.Chen L.Iida Y.Huang A.Cheng K.Chang W.Lee G.Wu Y.Su
Talks about:imag (4) scale (2) photo (2) learn (2) larg (2) base (2) ad (2) probabilist (1) crowdsourc (1) discoveri (1)
Person: Winston H. Hsu
DBLP: Hsu:Winston_H=
Contributed to:
2015
2014201220112008Wrote 6 papers:
- ECIR-2015-TsaiKH #approximate #distance #multi #probability
- Approximating Weighted Hamming Distance by Probabilistic Selection for Multiple Hash Tables (CYT, YHK, WHH), pp. 123–134.
- SIGIR-2014-WuMHR #image #learning #personalisation
- Learning to personalize trending image search suggestion (CCW, TM, WHH, YR), pp. 727–736.
- SIGIR-2012-LeiCCIH #layout #retrieval #scalability
- Where is who: large-scale photo retrieval by facial attributes and canvas layout (YHL, YYC, BCC, LI, WHH), pp. 701–710.
- SIGIR-2011-HuangCHHC #crowdsourcing
- Region-based landmark discovery by crowdsourcing geo-referenced photos (YTH, AJC, LCH, WHH, KWC), pp. 1141–1142.
- SIGIR-2011-LeeHWHS #dataset #graph #image #learning #multi #pipes and filters #scalability #using
- Multi-layer graph-based semi-supervised learning for large-scale image datasets using mapreduce (WYL, LCH, GLW, WHH, YFS), pp. 1121–1122.
- SIGIR-2008-LiaoCH #image #named #optimisation #scheduling #video
- AdImage: video advertising by image matching and ad scheduling optimization (WSL, KTC, WHH), pp. 767–768.