Travelled to:1 × Austria
1 × Canada
1 × China
1 × Germany
1 × Spain
1 × Turkey
2 × United Kingdom
Collaborated with:Y.Mitani S.Tomita S.Uchimura Y.Fujita N.Matsunaga M.Watanabe T.Yasuda T.Miyamoto Y.Muto H.Nagase K.Masamizu M.Segawa S.Terai I.Sakaida T.Miyamoto N.Iizuka M.Oka H.Ishihara T.Hase H.Yasuda S.Kido K.Ueda
Talks about:classifi (5) use (5) gabor (4) featur (3) imag (3) handwritten (2) tomographi (2) techniqu (2) recognit (2) section (2)
Person: Yoshihiko Hamamoto
DBLP: Hamamoto:Yoshihiko
Contributed to:
201020062004200420022000
199719961995Wrote 12 papers:
- ICPR-2010-FujitaHSTS #detection #image #using
- An Improved Method for Cirrhosis Detection Using Liver’s Ultrasound Images (YF, YH, MS, ST, IS), pp. 2294–2297.
- ICPR-v3-2006-FujitaMH #detection
- A Method for Crack Detection on a Concrete Structure (YF, YM, YH), pp. 901–904.
- ICPR-v2-2004-MiyamotoUHIO #comparison #predict
- Comparison of Microarray-Based Predictive Systems for Early Recurrence of Cancer (TM, SU, YH, NI, MO), pp. 347–350.
- ICPR-v3-2004-MitaniMH #image
- Artificial Images for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography Images (YM, NM, YH), pp. 530–533.
- ICPR-v1-2002-MitaniYKUMH
- Combining the Gabor and Histogram Features for Classifying Diffuse Lung Opacities in Thin-Section Computed Tomography (YM, HY, SK, KU, NM, YH), pp. 53–56.
- ICPR-v2-2000-MitaniH #classification #design #nearest neighbour #using
- Classifier Design Based on the Use of Nearest Neighbor Samples (YM, YH), pp. 2769–2772.
- ICPR-v2-2000-MiyamotoHM #classification #design #polynomial #using
- Use of Bootstrap Samples in Quadratic Classifier Design (TM, YH, YM), pp. 2789–2792.
- ICPR-v2-2000-MutoNH #classification #evaluation
- Evaluation of a Modified Parzen Classifier in High Dimensional Spaces (YM, HN, YH), pp. 2067–2070.
- ICDAR-1997-WatanabeHYT #normalisation
- Normalization Techniques of Handwritten Numerals for Gabor Filters (MW, YH, TY, ST), p. 303–?.
- ICPR-1996-HamamotoMIHT #anti #evaluation #network
- Evaluation of an anti-regularization technique in neural networks (YH, YM, HI, TH, ST), pp. 205–208.
- ICPR-1996-HamamotoUWYT #recognition #using
- Recognition of handwritten numerals using Gabor features (YH, SU, MW, TY, ST), pp. 250–253.
- ICDAR-v2-1995-HamamotoUMT #recognition #using
- Recognition of handprinted Chinese characters using Gabor features (YH, SU, KM, ST), pp. 819–823.