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 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-01-17
11:20
Online Online CAMRI Loss: Class-wise Additive Angular Margin Loss for Improving Recall of a Specific Class
Daiki Nishiyama (Univ. Tsukuba), Fukuchi Kazuto, Yohei Akimoto, Jun Sakuma (Univ. Tsukuba/RIKEN) IBISML2021-22
In real-world applications of multiclass classification models, there is a need to increase the recall of classes where ... [more] IBISML2021-22
pp.29-36
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
09:30
Tokyo   Simultaneous training of multi-class object detectors via large scale image dataset -- introduction of target specific negative classes --
Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Tatsuya Harada, Yasuo Kuniyoshi (Univ. Tokyo) PRMU2012-42 IBISML2012-25
We propose an efficient method to train multiple object detectors simultaneously using a large-scale image dataset. The ... [more] PRMU2012-42 IBISML2012-25
pp.105-112
MBE, NC
(Joint)
2007-12-22
10:15
Aichi   Probabilistic Outputs for Multiclass Support Vector Machine
Liu Liu, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata (Nagoya Inst. of Tech.) NC2007-74
Support Vector Machines (SVM) have been successfully applied in many classification tasks with great generalization perf... [more] NC2007-74
pp.19-24
PRMU 2007-12-13
11:40
Hyogo Kobe Univ. [Special Talk] (not registered)
Shigeo Abe (Kobe Univ.) PRMU2007-139
Support vector machines (SVM) have been attracting much attention because of their high generalization ability for a wid... [more] PRMU2007-139
p.25
SANE 2006-05-26
17:00
Kochi Kochi Univ. of Technology Reconfigurable Multi-Classifier and Re-classification
Hidetoshi Tanaka (Mitsubishi Electric Corp.) SANE2006-63
Auto target multiclassification by radar includes problems of the class reconfiguration, in which new classes are added ... [more] SANE2006-63
pp.37-40
MBE, NC
(Joint)
2005-12-09
15:20
Aichi   Splitting the feature subset selection of multiclass support vector machines
Xin Hu, Mauricio Kugler (NIT), Anto Satriyo Nugroho (Chukyo Univ.), Susumu Kuroyanagi, Akira Iwata (NIT)
One drawback on the use of Support Vector Machines (SVM) in real
applications is its slow classification speed, proport... [more]
NC2005-86
pp.31-36
SANE 2005-03-05
10:50
Overseas KARI, Daejeon, Korea Auto Target Multiclassification by Double Negative Aggregation of SVM Membership
Hidetoshi Tanaka (Mitsubishi Electric)
Auto Target Multiclassification problems are binarized into pairwise
target classifications to utilize basic classific... [more]
SANE2004-120
pp.25-30
 Results 1 - 7 of 7  /   
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