Travelled to:1 × Australia
1 × Canada
1 × China
1 × Spain
1 × Turkey
1 × USA
2 × Japan
Collaborated with:K.Watanabe T.Matsukawa A.Hidaka T.Kato M.Tanaka K.Hotta T.Mishima E.Adachi N.Otsu T.Takahashi Y.Ikeda K.Nishida Y.Ogiuchi M.Higashikubo H.Shimai T.Takeda T.Tamaki B.Raytchev K.Kaneda S.Yoshida Y.Takemura K.Onji R.Miyaki S.Tanaka
Talks about:imag (4) featur (3) use (3) recognit (2) visual (2) detect (2) local (2) estim (2) face (2) ise (2)
Person: Takio Kurita
DBLP: Kurita:Takio
Contributed to:
2012201020082006200220001998
1993Wrote 11 papers:
- ICPR-2012-TakedaTRKKYTOMT #image #recognition #self
- Self-training with unlabeled regions for NBI image recognition (TT, TT, BR, KK, TK, SY, YT, KO, RM, ST), pp. 25–28.
- ICPR-2010-MatsukawaK #recognition #using
- Action Recognition Using Three-Way Cross-Correlations Feature of Local Moton Attributes (TM, TK), pp. 1731–1734.
- ICPR-2010-NishidaKOH #algorithm #using #visual notation
- Visual Tracking Algorithm Using Pixel-Pair Feature (KN, TK, YO, MH), pp. 1808–1811.
- ICPR-2008-HidakaK #feature model #optimisation #using
- Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization (AH, TK), pp. 1–4.
- ICPR-2008-WatanabeK #locality #multi
- Locality preserving multi-nominal logistic regression (KW, TK), pp. 1–4.
- ICPR-2008-WatanabeK08a #dataset #scalability
- RANSAC-SVM for large-scale datasets (KW, TK), pp. 1–4.
- ICPR-v1-2006-AdachiKO #estimation #fault #reliability
- Reliability index of optical flow that considers error margin of matches and stabilizes camera movement estimation (EA, TK, NO), pp. 699–702.
- ICPR-v3-2002-KuritaTI #classification #image #network
- A Neural Network Classifier for Occluded Images (TK, TT, YI), pp. 45–48.
- ICPR-v2-2000-KuritaTHSM #adaptation #detection #estimation #image #performance
- Efficient Face Detection from News Images by Adaptive Estimation of Prior Probabilities and Ising Search (TK, MT, KH, HS, TM), pp. 2917–2920.
- ICPR-1998-TanakaHMK #detection
- Dynamic attention map by Ising model for human face detection (MT, KH, TM, TK), pp. 1044–1046.
- ICDAR-1993-KuritaK #database #image #learning #visual notation
- Learning of personal visual impression for image database systems (TK, TK), pp. 547–552.