|
|
| Akinori HIDAKA |
| Machine Vision Laboratory |
| School of Science and Engineering, Tokyo Denki University |
| Ishizaka, Hatoyama-machi, Hiki-gun, Saitama-ken, 350-0394, Japan |
| $B")(J350-0394 $B:k6L8)Hf4k74H7;3D.@P:d!!(J$BEl5~EE5!Bg3X(J$B!!(J$BM}9)3XIt(J |
|
$BM}3X7O(J$B!!(J
$B?tM}>pJs3X%3!<%9(J$B!!(J
$B%^%7%s%S%8%g%s8&5f<<(J
|
| --------------------------------------------------------------------- |
| E-mail to: |
| hidaka."myfirstname"@mail.dendai.ac.jp |
| (Please replace "myfirstname" by my first name in small letters) |
| $B$3$N%a!<%k%"%I%l%9$KFCDjEE;R%a!<%k!J9-9p@kEAEy!K$rAw?.$9$k$3$H$r6X;_$7$^$9(J |
| Personal History |
|
Japanese
Male
|
| Biography |
|
Akinori Hidaka received the B.Sci degree from Ibaraki University in 2004, and the M.Eng. and Ph.D. in Eng. degree from the University of Tsukuba, in 2006 and 2009, respectively.
He is currently an associate professor of Tokyo Denki University, in Japan.
His current research interests include computer vision based on statistical pattern recognition, especially object detection, tracking, generic object recognition and Deep Learning.
He is a member of IEICE, IEEE and ISCIE.
2004$BG/(J3$B7n!$0q>kBg3XM}3XItB46H!%(J
2006$BG/(J3$B7n!$C^GHBg3XBg3X1!%7%9%F%`>pJs9)3X8&5f2J!!=$;N!J9)3X!KpJs9)3X8&5f2J!!Gn;N!J9)3X!K;v!%(J
$B
|
|
| Academic Background |
| Doctor |
2006-2009 |
University of Tsukuba |
Department of Computer Science, Systems and Information Engineering |
| Master |
2004-2006 |
University of Tsukuba |
Department of Computer Science, Systems and Information Engineering |
| Bachelor |
2000-2004 |
Ibaraki University |
Department of Mathematical Science, Faculty of Science |
|
|
| Jobs |
| Associate professor |
Apr. 2018 - |
Tokyo Denki Unibversity |
School of Science and Engineering |
| Assistant professor |
Apr. 2009 - Mar. 2018 |
Tokyo Denki Unibversity |
School of Science and Engineering |
|
|
|
|
| Educations |
| C$B8@8l%W%m%0%i%_%s%0(J |
Programming C |
Basics of C language programming |
$B
| Practical Programming |
Basics of python programming |
|
| $B?tM}%W%m%0%i%_%s%0-5!$-6(J |
Programming for Mathematical Informatics I, II |
Practical C language programming |
| $B?tM}>pJs3X4pAC1i=,(J |
Basic Exercises in Mathematical Informatics |
Exercise of Matlab programming, which focuses to fractal or cellular automata |
| $B?tM}>pJs3X1~MQ1i=,(J |
Advanced Exercises in Mathematical Informatics |
Exercise of Matlab programming, which focuses to image processing and facial image recognition |
| $B?tM}>pJs3XF~Lg(J |
Introduction to Mathematical Informatics |
Introduction to mathematical informatics and computer science (omnibus lectures) |
| $BN%;6?t3X(J |
Discrete Mathematics |
Discrete mathematics including set theory, propositional logic, predicate logic, tree, mathematical induction and recursive |
| $B?t3X4pAC(J |
Fundamental Mathematics |
Introduction to fundamental mathematics |
| $B%U%l%C%7%e%^%s%<%_#A(J |
Seminar for Freshman |
|
| $BM}3XNX9V-5!$-6(J |
Seminar I, II |
|
| $BM}3XB46H8&5f-5!$-6(J |
Undergraduate Research I, II |
Graduate study which focuses image recognition (especially object detection/tracking) |
|
|
| Publications |
| Books |
|
$B7*EDB?4nIW!$(J$BF|9b>OM}(J$B!$(J``$BE}7WE*%Q%?!<%sG'<1$HH=JLJ,@O(J''$B!$%7%j!<%:>pJs2J3X$K$*$1$k3NN(%b%G%k(J1$B!$%3%m%J[$B=q@R%5%]!<%H%Z!<%8(J]
|
|
| Journals (with peer review) |
|
Akinori Hidaka, Kenji Watanabe and Takio Kurita, ``Sparse discriminant analysis based on estimation of posterior probabilities,'' Journal of Applied Statistics, DOI:10.1080/02664763.2019.1613348, 25 pages, May, 9, 2019.
Akinori Hidaka and Takio Kurita, ``Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis,'' Transactions of ISCIE, Vol. 31, No. 1, pp. 10-20, Jan. 2018.
Akinori Hidaka and Takio Kurita, ``Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine,'' IEICE TRANSACTIONS on Information and Systems, Vol.E99-D, No.11, pp. 2734-2744, Nov. 1, 2016.
Akinori Hidaka and Takio Kurita, ``Randomized and Dimension Reduced Radial Basis Features for Support Vector Machine,'' Transactions of ISCIE, Vol. 29, No. 1, pp. 1-8, Jan. 15, 2016.
Kenji Watanabe, Akinori Hidaka, Nobuyuki Otsu and Takio Kurita, ``Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion,'' PLoS ONE, vol. 7, no. 3, e32352 (9 pages), Mar. 2012.
$B>>@nE0!$(J$BF|9b>OM}(J$B!$7*EDB?4nIW!$(J``$BJ#?t?MJ*$N4iJ}8~!&I=>pG'<1$K4p$E$/1GA|Cf$N4Q5R$NK~B-EY$N<+F0DjNLI>2A(J''$B!$>pJs=hM}3X2qO@J8;o!$(JVol. 50$B!$(JNo. 12$B!$(Jpp. 3222-3232$B!$(J2009$BG/(J12$B7n!%(J
Akinori Hidaka, Kenji Nishida and Takio Kurita, ``Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features,'' IEICE TRANSACTIONS on Information and Systems, Vol.E91-D, No.8, pp. 2163-2170, 2008.
|
|
| Proceedings of International Conferences, Workshops, Symposiums (with peer review) |
|
Hiroyuki Fujioka, Jarupat Sawangphol, Shinya Anraku, Nobuyoshi Miyamoto, Akinori Hidaka, Hiroyuki Kano, ``Understanding Deformation Motion of Colloidal Nanosheets from CLSM Images using Deep Learning-based Approach,'' ICARCV 2018, pp. 192-197, Nov. 2018.
Hiroyuki Fujioka, Wenli Zhu, Akinori Hidaka and Hiroyuki Kano, ``Reconstructing Dynamic Font-based Chinese Characters using Support Vector Machine,'' 2017 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2408-2413, Oct. 2017.
Akinori Hidaka and Takio Kurita, ``Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks,'' Proceedings of The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'16), Fukuoka, pp. 160-167, Nov. 4-5, 2016.
Akinori Hidaka and Takio Kurita, ``Randomized and Dimension Reduced Kernel Generation for Support Vector Machine,'' Proceedings of the 46th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'14), pp. 191-196, Kyoto, Nov. 1-2, 2014.
Akinori Hidaka and Takio Kurita, ``Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model,'' IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR 2014) and Structural and Syntactic Pattern Recognition (SSPR 2014), pp. 133-142, Joensuu, Finland, Aug. 20-22, 2014.
Takio Kurita, Kenji Watanabe and Akinori Hidaka, ``Sparse Logistic Discriminant Analysis,'' Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), pp. 3003-3008, Manchester, United Kingdom, Oct. 13-16, 2013.
Akinori Hidaka and Takio Kurita, ``Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression,'' Proceedings of Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), pp. 648-656, Hiroshima, Japan, Nov. 7-9, 2012.
Akinori Hidaka and Takio Kurita, ``Discriminant Kernels based Support Vector Machine,'' Proceedings of The First Asian Conference on Pattern Recognition (ACPR 2011), pp. 159-163, Beijing, China, Nov. 28-30, 2011.
Akinori Hidaka and Takio Kurita, ``Co-occurrence of Intensity and Gradient Features for Object Detection,'' Proceedings of The 16th International Conference on Neural Information Processing (ICONIP 2009), No. 306, Tahiland, Dec. 1-5, 2009 (Lecture Notes in Computer Science, Neural Information Processing, Volume 5864/2009, pp. 38-46, 2009).
Tetsu Matsukawa, Akinori Hidaka and Takio Kurita, ``Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions,'' Proceedings of The Eleventh IAPR Conference on Machine Vision Applications (MVA2009), Japan, May 20-22, 2009.
Akinori Hidaka and Takio Kurita, ``Non-Neighboring Rectangular Feature Selection using Particle Swarm Optimization,'' Proceedings of The 19th International Conference on Pattern Recognition (ICPR2008), Tampa, Florida, USA, Dec. 2008.
Akinori Hidaka and Takio Kurita, Nobuyuki Otsu, ``Object Detection by Selective Integration of HLAC Mask Features,'' Proceedings of The 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS2008), pp. 46-50, Edinburgh, Scotland, UK, Aug. 2008.
Akinori Hidaka and Takio Kurita, ``Fast Training Algorithm by Particle Swarm Optimization and Random Candidate Selection for Rectangular Feature Based Boosted Detector,'' Proceedings of IEEE World Congress on Computational Intelligence (WCCI2008), pp. 1164-1170, Hong Kong, China, Jun. 2008.
Kenji Watanabe, Akinori Hidaka and Takio Kurita, ``Automatic Factorization of Biological Signals by Using Boltzmann Non-negative Matrix Factorization,'' Proceedings of IEEE World Congress on Computational Intelligence (WCCI2008), pp. 1123-1129, Hong Kong, China, Jun. 2008.
Akinori Hidaka and Takio Kurita, ``Fast Training Algorithm by Particle Swarm Optimization for Rectangular Feature Based Boosted Detector,'' Proceedings of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp. 88-93, Beppu, Oita, Japan, Jan. 2008.
Takuya Kobayashi, Akinori Hidaka and Takio Kurita, ``Comparison of linear feature spaces for classification of face sequences in movie videos,'' Proceedings of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp. 70-75 Jan. Beppu, Oita, Japan, 2008.
Takuya Kobayashi, Akinori Hidaka and Takio Kurita, ``Selection of Histograms of Oriented Gradients Features for Pedestrian Detection,'' Proceedings of The 14th International Conference on Neural Information Processing (ICONIP 2007), WAB-2, Kitakyushu, Japan, Nov. 2007 (Lecture Notes in Computer Science, Neural Information Processing, Volume 4985/2008, pp. 598-607, 2008).
Takio Kurita, Tatsuya Hosoi and Akinori Hidaka, ``Principal Component Analysis of Multi-view Images for Viewpoint-Independent Face Recognition,'' Proceedings of IEEE International Conference on Video and Signal Based Surveillance (AVSS 2006), No. 55, Sydney, Australia, Nov. 2006.
Akinori Hidaka, Kenji Nishida and Takio Kurita, ``Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features,'' Proceedings of 2006 IEEE International Conference on Computer Vision Systems (ICVS2006), No. 48, New York, NY, USA, Jan. 2006.
|
|
| Presentations (No peer review) |
|
$B>>K\M$;V!$(J$BF|9b>OM}(J$B!$!H?M9)2h$Bc7F#7$BF|9b>OM}(J$B!$!H4o3#=P$7$N<+F02=$N$?$a$N(JCNN $B$rMQ$$$?u67$N<1JL!I!$Bh(J51$B2sB,<+F0@)8f3X2qKL3$F;;YIt3X=Q9V1i2q!$(Jpp. 39-40$B!$(J2019$BG/(J3$B7n!%(J
$B:#0fBg5.!$(J$BF|9b>OM}(J$B!$!H?<+F0E*:n@.$B1]h=F`!$c7F#7$BF|9b>OM}(J$B!$!H?u67M}2r5;=Q$N3+H/!I!$Bh(J51$B2sB,<+F0@)8f3X2qKL3$F;;YIt3X=Q9V1i2q!$(Jpp. 53-54$B!$(J2019$BG/(J3$B7n!%(J
Akinori Hidaka and Takio Kurita, ``Convolutional Neural Networks as General Nonlinear Classifiers,'' Abstracts on The 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'17), pp. 95-96 (04C6-2), Hiroshima, Japan, Nov. 3-4, 2017.
$B2f:J?-I'!$(J$BF|9b>OM}(J$B!$(J``$B?v$_9~$_%K%e!<%i%k%M%C%H%o!<%/$,3MF@$9$kCm0UA*Br%b%G%k$KBP$9$k?4M}J*M}3XE*%?%9%/$N1F6A(J''$B!$(J2017$BG/EY(J $B?M9)CNG=3X2qA49qBg2q!JBh(J31$B2s!K!$(J2K4-OS-33b-2 (4pages)$B!$L>8E20!$(J2017$BG/(J5$B7n!%(J
$BD9Jwf{J$BF|9b>OM}(J$B!$r7o2<$K$*$1$k(JFaster R-CNN $B$NJ*BN8!=P@-G=$N8!>Z$H2~A1(J''$B!$Bh#4#92s7WB,<+F0@)8f3X2qKL3$F;;YIt3X=Q9V1i2q!$(Jpp. 65-68$B!$(J2017$BG/(J2$B7n!%(J
$BM/0fNO!$(J$BF|9b>OM}(J$B!$2AK!$N2~A1(J''$B!$Bh#4#92s7WB,<+F0@)8f3X2qKL3$F;;YIt3X=Q9V1i2q!$(Jpp. 77-80$B!$(J2017$BG/(J2$B7n!%(J
Chikara Wakui, Akinori Hidaka and Hiroyuki Kano, ``Adaptive Hierarchical Subquery Evaluation Based on Feature Learning of Stacked Auto-Encoder,'' Proceedings of International Workshop on Advanced Image Technology 2017 (IWAIT2017), 6B-4 (4 pages), Penang, Malaysia, Jan. 2017.
Akinori Hidaka and Takio Kurita, ``Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks,'' Abstracts on The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'16), pp. 97-98, Fukuoka, Nov. 4-5, 2016.
Akinori Hidaka and Takio Kurita, ``Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis,'' Abstracts on The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), pp. 131-132 (3M2-1), Honolulu, Hawaii, USA, Dec. 5-8, 2015.
Chikara Wakui, Akinori Hidaka and Hiroyuki Kano, ``Semi-supervised Learning of Stacked Auto Encoder from Small Training Samples for Objects on Road,'' Abstracts on The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), pp. 137-138 (3M2-4), Honolulu, Hawaii, USA, Dec. 5-8, 2015.
Ryota Yamada, Akinori Hidaka and Hiroyuki Kano, ``Spline Curve Approximation of Marking Lines from Image Sequence Taken by Single Moving Camera,'' Abstracts on The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), pp. 159-160 (3S4-1), Honolulu, Hawaii, USA, Dec. 5-8, 2015.
$BF|9b>OM}(J$B!$7*EDB?4nIW!$(J``$BH=JL%+!<%M%k4X?t$rMQ$$$?%+!<%M%k%5%]!<%H%Y%/%?!<%^%7%s(J''$B!$2hA|$NG'<1!&M}2r%7%s%]%8%&%`!J(JMIRU$B!K!$(JIS1-59$B!$J!2,!$(J2012$BG/(J8$B7n!%(J
$B@P2,Bg9,!$(J$BF|9b>OM}(J$B!$pJsDL?.3X2qAm9gBg2q!$(JISS-P-201$B!$2,;3!$(J2012$BG/(J3$B7n!%(J
$B:4F#fFB@!$(J$BF|9b>OM}(J$B!$pJsDL?.3X2qAm9gBg2q!$(JISS-P-203$B!$2,;3!$(J2012$BG/(J3$B7n!%(J
$BF#0fB?J9!$(J$BF|9b>OM}(J$B!$pJsDL?.3X2qAm9gBg2q!$(JISS-P-204$B!$2,;3!$(J2012$BG/(J3$B7n!%(J
$B2OED??Jf!$(J$BF|9b>OM}(J$B!$pJsDL?.3X2qAm9gBg2q!$(JISS-P-236$B!$2,;3!$(J2012$BG/(J3$B7n!%(J
$BD9ItN6!$(J$BF|9b>OM}(J$B!$pJsDL?.3X2qAm9gBg2q!$(JISS-P-250$B!$2,;3!$(J2012$BG/(J3$B7n!%(J
$BF|9b>OM}(J$B!$(J``Ensemble Clustering $B$K$h$kBP>]$N8~$-JQ2=$KCmL\$7$?;k3PE*J*BNG'<1(J''$B!$%S%8%g%s5;=Q$N
$BEOJU82;J!$(J$BF|9b>OM}(J$B!$2.Fb9/M:!$El5WJ]@/>!!$7*EDB?4nIW!$(J``$B%m%P%9%H%F%s%W%l!<%H%^%C%A%s%0$rMQ$$$?ItJ,E*$J1#$l$K4h7r$JBP>]DI@W
$BF|9b>OM}(J$B!$7*EDB?4nIW!$(J``$BHsNY@\7?6k7AFCD'$rMQ$$$?J*BN8!=P(J''$B!$EE;R>pJsDL?.3X2q%Q%?!<%sG'<1!&%a%G%#%"M}2r(J(PRMU)$B8&5f2q!$?.3X5;Js(JVol.108 NO.198, pp. 135-140, 2008$BG/(J09$B7n!%(J
$B>.NSBsLi!$(J$BF|9b>OM}(J$B!$7*EDB?4nIW!$(J``Histograms of Oriented Gradients $B$rMQ$$$?BP>]<1JL$G$NFCD'A*Br(J''$B!$EE;R>pJsDL?.3X2q%Q%?!<%sG'<1!&%a%G%#%"M}2r(J(PRMU)$B8&5f2q!$(JVol.PRMU2006-275, pp. 119-124, 2007$BG/(J03$B7n!%(J
$BF|9b>OM}(J$B!$7*EDB?4nIW!$BgDEE8G7!$(J``$B9b
$BF|9b>OM}(J$B!$@>ED7rpJsDL?.3X2q%Q%?!<%sG'<1!&%a%G%#%"M}2r(J(PRMU)$B8&5f2q!$(JVol. PRMU2005-102, pp. 55-60$B!$(J2005$BG/(J10$B7n!%(J
$BC+@n>;;J!$(J$BF|9b>OM}(J$B!$:4Ln2FED7r]8!=Pe$N$?$a$N9)IW$H
$BF|9b>OM}(J$B!$7*EDB?4nIW!$(J``$B6k7AFCD'$H(JAdaBoost$B$rMQ$$$?4i8!=P4o$K$*$1$kpJsDL?.3X2qAm9gBg2q!$(JD-12-101$B!$(J2005$BG/(J3$B7n!%(J
|
|
| Grants |
2018.4 - 2021.3
$BJ?@.(J30-32$BG/EY(J |
Co-Investigator
$BJ,C4(J |
Grant-in-Aid for Scientific Research (KAKENHI) (C)
$B2J3X8&5fHqJd=u6b(J $B4pHW8&5f(J(C) |
2018.4 - 2020.3
$BJ?@.(J30-31$BG/EY(J |
Representative
$BBeI=(J |
Grant-in-Aid for Scientific Research on Innovative Areas
$B2J3X8&5fHqJd=u6b(J $B?73X=QNN0h8&5f!J8&5fNN0hDs0F7?!K8xJg8&5f(J |
2017.4 - 2018.3
$BJ?@.(J29$BG/EY(J |
Representative
$BBeI=(J |
TATEISI SCIENCE AND TECHNOLOGY FOUNDATION Grant (A)
$B8x1W:bCDK!?M(J $BN)@P2J3X5;=Q?66=:bCD(J 2017$BG/EY(J $B8&5f=u@.(J($B#A(J) |
2016.4 - 2021.3
$BJ?@.(J28-32$BG/EY(J |
Co-Investigator
$BJ,C4(J |
Grant-in-Aid for Scientific Research (KAKENHI) (C)
$B2J3X8&5fHqJd=u6b(J $B4pHW8&5f(J(C) |
2016.4 - 2019.3
$BJ?@.(J28-30$BG/EY(J |
Representative
$BBeI=(J |
Grant-in-Aid for Young Scientists (B)
$B2J3X8&5fHqJd=u6b(J $B
|
2011.4 - 2016.3
$BJ?@.(J23-27$BG/EY(J |
Co-Investigator
$BJ,C4(J |
Grant-in-Aid for Scientific Research (KAKENHI) (C)
$B2J3X8&5fHqJd=u6b(J $B4pHW8&5f(J(C) |
2009.4 - 2011.3
$BJ?@.(J21-22$BG/EY(J |
Representative
$BBeI=(J |
Grants-in-Aid for Young Scientists (Start-up)
$B2J3X8&5fHqJd=u6b(J $B
|
|
|
|
| | |