Travelled to:1 × China
1 × Japan
1 × Portugal
1 × Sweden
1 × Taiwan
2 × USA
Collaborated with:S.Uchida A.Makinouchi Y.Kunishige T.Sasaki W.Cai Z.Wang H.Ryu M.Goto R.Ishida Y.Terada R.Huang M.Fukutomi K.Ogawara Y.Shigeyoshi K.Inai M.Palsson V.Frinken
Talks about:charact (6) base (3) sceneri (2) enhanc (2) detect (2) larg (2) data (2) use (2) multidimension (1) neighborhood (1)
Person: Yaokai Feng
DBLP: Feng:Yaokai
Contributed to:
2014
201320122011
2011
20052004Wrote 10 papers:
- ICPR-2014-InaiPFFU #privacy
- Selective Concealment of Characters for Privacy Protection (KI, MP, VF, YF, SU), pp. 333–338.
- ICDAR-2013-GotoIFU #graph #scalability #set #using
- Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph (MG, RI, YF, SU), pp. 3–7.
- ICDAR-2013-TeradaHFU #detection #on the
- On the Possibility of Structure Learning-Based Scene Character Detector (YT, RH, YF, SU), pp. 472–476.
- ICPR-2012-UchidaFOF #markov
- Non-Markovian dynamic time warping (SU, MF, KO, YF), pp. 2294–2297.
- ICDAR-2011-KunishigeFU #detection
- Scenery Character Detection with Environmental Context (YK, YF, SU), pp. 1049–1053.
- ICDAR-2011-UchidaSF #generative
- A Generative Model for Handwritings Based on Enhanced Feature Desynchronization (SU, TS, YF), pp. 589–593.
- ICDAR-2011-UchidaSKF #approach #detection #towards
- A Keypoint-Based Approach toward Scenery Character Detection (SU, YS, YK, YF), pp. 819–823.
- SAC-2011-CaiFU #database #recognition #scalability
- Massive character recognition with a large ground-truthed database (WC, YF, SU), pp. 240–244.
- ICEIS-v1-2005-FengWM #clustering #hybrid
- A Hybrid Clustering Criterion for R*-Tree on Business Data (YF, ZW, AM), pp. 346–352.
- ICEIS-v1-2004-FengMR #multi #performance #query #using
- Improving Query Performance on OLAP-Data Using Enhanced Multidimensional Indices (YF, AM, HR), pp. 282–289.