On the Behavior of Kernel Mutual Subspace Method

被引：0

作者：

Sakano, Hitoshi ^{[1
]}

Yamaguchi, Osamu ^{[2
]}

Kawahara, Tomokazu ^{[3
]}

Hotta, Seiji ^{[4
]}

机构：

[1] NTT Commun Sci Lab, 2-4 Hikaridai,Seika Cho, Kyoto 6190237, Japan

[2] Toshiba Corp Power Syst Co, Power & Ind Syst R&D Ctr, Fuchu, Tokyo 1838511, Japan

[3] Toshiba Co Ltd, Corp R&D Ctr, Saiwai Ku, Kawasaki, Kanagawa 2128582, Japan

[4] Tokyo Univ Agr & Technol, Grad Sch Engn, Koganei, Tokyo 1848588, Japan

来源：

COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II | 2011年 / 6469卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Optimizing the parameters of kernel methods is an unsolved problem. We report an experimental evaluation and a consideration of the parameter dependences of kernel mutual subspace method (KMS). The following KMS parameters are considered: Gaussian kernel parameters, the dimensionalities of dictionary and input subspaces, and the number of canonical angles. We evaluate the recognition accuracies of KMS through experiments performed using the ETH-80 animal database. By searching exhaustively for optimal parameters, we obtain 100% recognition accuracy, and some experimental results suggest relationships between the dimensionality of subspaces and the degrees of freedom for the motion of objects. Such results imply that KMS achieves a high recognition rate for object recognition with optimized parameters.

引用

页码：364 / 373

页数：10

共 50 条

[1] Speaker recognition using kernel mutual subspace method
Ichino, M
Sakano, H
Komatsu, N
[J]. 2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 397 - 402
[2] Kernel mutual subspace method and its application for object recognition
Sakano, H
Mukawa, N
Nakamura, T
[J]. ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS, 2005, 88 (06): : 45 - 53
[3] Kernel mutual subspace method for robust facial image recognition
Sakano, H
Mukawa, N
[J]. KES'2000: FOURTH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, VOLS 1 AND 2, PROCEEDINGS, 2000, : 245 - 248
[4] Text-Indicated Speaker Recognition Using Kernel Mutual Subspace Method
Ichino, Masatsugu
Sakano, Hitoshi
Komatsu, Naohisa
[J]. 2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4, 2008, : 957 - +
[5] Combination of self-organization map and kernel mutual subspace method for video surveillance
Zhang, Bailing
Park, Junbum
Ko, Hanseok
[J]. 2007 IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, 2007, : 123 - +
[6] RAPID RECOGNITION OF TOMATO'S DISEASE STAGES BASED ON THE KERNEL MUTUAL SUBSPACE METHOD
Zhang, Yan
Wu, Huarui
Chen, Cheng
Wang, Xiaomin
[J]. APPLIED ENGINEERING IN AGRICULTURE, 2021, 37 (05) : 793 - 804
[7] The kernel orthogonal mutual subspace method and its application to 3D object recognition
Fukui, Kazuhiro
Yamaguchi, Osamu
[J]. COMPUTER VISION - ACCV 2007, PT II, PROCEEDINGS, 2007, 4844 : 467 - +
[8] A framework for 3D object recognition using the kernel constrained mutual subspace method
Fukui, K
Stenger, B
Yamaguchi, O
[J]. COMPUTER VISION - ACCV 2006, PT II, 2006, 3852 : 315 - 324
[9] Compound Mutual Subspace Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method
Akihiro, Naoki
Fukui, Kazuhiro
[J]. COMPUTER VISION - ACCV 2010 WORKSHOPS, PT II, 2011, 6469 : 374 - 383
[10] Face recognition with the multiple constrained mutual subspace method
Nishiyama, M
Yamaguchi, O
Fukui, K
[J]. AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2005, 3546 : 71 - 80

← 1 2 3 4 5 →