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Travelled to:
1 × Australia
1 × Canada
1 × Germany
1 × Japan
1 × Spain
1 × USA
Collaborated with:
F.Kimura T.Wakabayashi Y.Miyake W.Ohyama K.Sekioka T.Yoshikawa T.Shinogi M.Shridhar T.Tanaka K.Takao T.Yamaguchi M.Teramoto S.Inoue K.Sawa Z.Chen N.Watanabe N.Minamide
Talks about:
handwritten (4) recognit (4) segment (3) method (3) base (3) automat (2) line (2) echocardiogram (1) ventricular (1) endocardium (1)

Person: Shinji Tsuruoka

DBLP DBLP: Tsuruoka:Shinji

Contributed to:

ICPR v1 20022002
ICDAR 20012001
ICPR v4 20002000
ICPR 19981998
ICDAR 19971997
ICDAR v2 19951995
ICDAR 19931993

Wrote 8 papers:

ICPR-v1-2002-OhyamaWKTS #automation #correlation
Automatic Tracking of Local Myocardial Motion by Correlation Weighted Velocity Method (WO, TW, FK, ST, KS), pp. 711–714.
ICDAR-2001-TsuruokaTYST #image #segmentation
Region Segmentation for Table Image with Unknown Complex Structure (ST, TT, TY, TS, KT), pp. 709–715.
ICDAR-2001-YamaguchiYSTT #segmentation
A Segmentation Method for Touching Japanese Handwritten Characters Based on Connecting Condition of Line (TY, TY, TS, ST, MT), pp. 837–843.
ICPR-v4-2000-OhyamaWKTS #automation #detection
Automatic Left Ventricular Endocardium Detection in Echocardiograms Based on Ternary Thresholding Method (WO, TW, FK, ST, KS), pp. 4320–4323.
ICPR-1998-KimuraIWTM #network #recognition #using
Handwritten numeral recognition using autoassociative neural networks (FK, SI, TW, ST, YM), pp. 166–171.
ICDAR-1997-SawaTWKM #automation #quality #recognition #string
Low Quality String Recognition for Factory Automation (KS, ST, TW, FK, YM), pp. 475–478.
ICDAR-v2-1995-TsuruokaWMKMS #recognition #word
Base line correction for handwritten word recognition (ST, NW, NM, FK, YM, MS), pp. 902–905.
ICDAR-1993-TsuruokaKMSC #recognition #segmentation
Segmentation and recognition for handwritten 2-letter state names (ST, FK, YM, MS, ZC), pp. 814–817.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.