Travelled to:1 × Austria
1 × Canada
1 × Japan
1 × Turkey
1 × USA
1 × United Kingdom
Collaborated with:∅ A.Kimura H.Kameoka M.Sugiyama N.Kawamae T.Yamada H.Tanaka S.Ohtsuka H.Kida N.Mukawa T.Nakano E.Maeda K.Ishiguro
Talks about:analysi (2) person (2) learn (2) genet (2) semi (2) imag (2) see (2) ocr (2) recommend (1) algorithm (1)
Person: Hitoshi Sakano
DBLP: Sakano:Hitoshi
Contributed to:
20122010
2009200420021996Wrote 6 papers:
- 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.
- RecSys-2009-KawamaeSY #personalisation #recommendation
- Personalized recommendation based on the personal innovator degree (NK, HS, TY), pp. 329–332.
- ICPR-v2-2004-TanakaSO #image #multi #retrieval
- Retrieval Method for Multi-category Images (HT, HS, SO), pp. 965–968.
- ICPR-v3-2002-Sakano #how #learning #query #search-based
- Genetic Translator: How to Apply Query Learning to Practical OCR (HS), pp. 184–187.
- ICPR-1996-SakanoKM #algorithm #image #search-based
- Seeing the character images that an OCR system sees-analysis by genetic algorithm (HS, HK, NM), pp. 411–416.