Travelled to:1 × China
1 × Japan
1 × Turkey
1 × USA
2 × United Kingdom
Collaborated with:K.Kashino H.Sakano H.Kameoka M.Sugiyama K.Ishiguro T.Kawanishi T.Kurozumi M.Nakano T.Yamada N.Ueda D.Pang T.Takeuchi J.Yamato T.Nakano E.Maeda
Talks about:semi (2) base (2) rectangular (1) multistag (1) supervis (1) stochast (1) various (1) similar (1) retriev (1) quantiz (1)
Person: Akisato Kimura
DBLP: Kimura:Akisato
Contributed to:
2014
20122010200820042004Wrote 6 papers:
- ICML-c2-2014-NakanoIKYU #process
- Rectangular Tiling Process (MN, KI, AK, TY, NU), pp. 361–369.
- ICPR-2012-KimuraSKS #analysis #component #design
- Designing various component analysis at will (AK, HS, HK, MS), pp. 2959–2962.
- ICPR-2010-KimuraKSNMSI #canonical #correlation #learning #named #performance
- SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations (AK, HK, MS, TN, EM, HS, KI), pp. 2933–2936.
- ICPR-2008-KimuraPTYK #markov #modelling #probability #random #visual notation
- Dynamic Markov random fields for stochastic modeling of visual attention (AK, DP, TT, JY, KK), pp. 1–5.
- ICPR-v2-2004-KimuraKK #image #multi #retrieval #similarity #using
- Acceleration of Similarity-Based Partial Image Retrieval using Multistage Vector Quantization (AK, TK, KK), pp. 993–996.
- ICPR-v3-2004-KashinoKK #clustering #video
- A Quick Video Search Method based on Local and Global Feature Clustering (KK, AK, TK), pp. 894–897.