Travelled to:1 × Australia
1 × Austria
1 × China
1 × Japan
1 × Spain
1 × Sweden
1 × Turkey
1 × USA
1 × United Kingdom
2 × Germany
Collaborated with:M.Shimbo J.Toyama A.Nakamura Y.Shidara H.Imai H.Tsukioka H.Nonaka T.Takahashi G.Lu I.Takigawa S.Tao A.Tanaka M.Miyakoshi M.Yamada H.Tenmoto S.Sumiyoshi Y.Mori M.Haindl J.Grim P.Somol P.Pudil
Talks about:base (5) classifi (4) recognit (3) convex (3) subclass (2) itemset (2) consist (2) classif (2) select (2) mixtur (2)
Person: Mineichi Kudo
DBLP: Kudo:Mineichi
Contributed to:
2014201220102008
2007200620052004200019981996Wrote 14 papers:
- ICPR-2014-TsukiokaK
- Selection of Features in Accord with Population Drift (HT, MK), pp. 1591–1596.
- ICPR-2012-LuKT #recognition #representation
- Action recognition via sparse representation of characteristic frames (GL, MK, JT), pp. 3268–3271.
- ICPR-2012-TaoKNT #process #recognition
- Camera view usage of binary infrared sensors for activity recognition (ST, MK, HN, JT), pp. 1759–1762.
- ICPR-2010-TakahashiK #approximate #classification
- Margin Preserved Approximate Convex Hulls for Classification (TT, MK), pp. 4052–4055.
- ICPR-2010-TanakaIKM #fault #kernel
- A Relationship Between Generalization Error and Training Samples in Kernel Regressors (AT, HI, MK, MM), pp. 1421–1424.
- ICPR-2008-ShidaraKN #classification #consistency
- Classification by bagged consistent itemset rules (YS, MK, AN), pp. 1–4.
- MLDM-2007-ShidaraNK #classification #consistency #named
- CCIC: Consistent Common Itemsets Classifier (YS, AN, MK), pp. 490–498.
- ICPR-v4-2006-YamadaKNT #behaviour #identification
- Hipprint Person Identification and Behavior Analys (MY, MK, HN, JT), pp. 533–536.
- MLDM-2005-TakigawaKN #classification #combinator #product line #set #subclass
- The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets (IT, MK, AN), pp. 90–99.
- ICPR-v3-2004-HaindlGSPK
- A Gaussian Mixture-Based Colour Texture Model (MH, JG, PS, PP, MK), pp. 177–180.
- ICPR-v2-2000-KudoIS #classification
- A Histogram-Based Classifier on Overlapped Bins (MK, HI, MS), pp. 2029–2033.
- ICPR-1998-KudoTSS #pattern matching #pattern recognition #recognition #subclass
- A subclass-based mixture model for pattern recognition (MK, HT, SS, MS), pp. 870–872.
- ICPR-1998-MoriKTS #graph #using #visualisation
- Visualization of the structure of classes using a graph (YM, MK, JT, MS), pp. 1724–1727.
- ICPR-1996-KudoS #classification #using
- Selection of classifiers based on the MDL principle using the VC dimension (MK, MS), pp. 886–890.