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Journal Articles
- 2022
[j3]Nobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura:
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model. Frontiers Comput. Neurosci. 16 (2022)- 2016
- [j2]Akinori Hidaka, Takio Kurita
:
Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine. IEICE Trans. Inf. Syst. 99-D(11): 2734-2744 (2016) - 2008
- [j1]Akinori Hidaka, Kenji Nishida, Takio Kurita:
Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features. IEICE Trans. Inf. Syst. 91-D(8): 2163-2170 (2008)
Conference and Workshop Papers
- 2024
- [c18]Nobuhiko Wagatsuma, Kazuma Ito, Akinori Hidaka:
Layer Dependent Artificial Representation and Selectivity of Model Neurons in the AlexNet Model Trained for Object Classification. IJCNN 2024: 1-8 - 2023
- [c17]Yuning Shi, Akinori Hidaka:
Improvement in On-road Object Detection Using YOLOv7 with High-order Spatial Interaction and Attention Mechanism. CyberC 2023: 249-258 - 2022
- [c16]Ryunosuke Ikeda, Akinori Hidaka:
Improvement of On-Road Object Detection Using Inter-region and Intra-region Attention for Faster R-CNN. IW-FCV 2022: 211-226 - 2018
- [c15]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: 192-197 - 2017
- [c14]Hiroyuki Fujioka, Wenli Zhu, Akinori Hidaka, Hiroyuki Kano:
Reconstructing dynamic font-based Chinese characters using support vector machine. SMC 2017: 2408-2413 - 2014
- [c13]Akinori Hidaka, Takio Kurita:
Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model. S+SSPR 2014: 133-142 - 2013
- [c12]Takio Kurita, Kenji Watanabe, Akinori Hidaka:
Sparse Logistic Discriminant Analysis. SMC 2013: 3003-3008 - 2012
- [c11]Akinori Hidaka, Takio Kurita:
Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression. SSPR/SPR 2012: 648-656 - 2011
- [c10]Akinori Hidaka, Takio Kurita:
Discriminant kernels based support vector machine. ACPR 2011: 159-163 - 2009
- [c9]Akinori Hidaka, Takio Kurita:
Co-occurrence of Intensity and Gradient Features for Object Detection. ICONIP (2) 2009: 38-46 - [c8]Tetsu Matsukawa, Akinori Hidaka, Takio Kurita:
Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions. MVA 2009: 426-430 - 2008
- [c7]Akinori Hidaka, Takio Kurita, Nobuyuki Otsu:
Object Detection by Selective Integration of HLAC Mask Features. BLISS 2008: 46-50 - [c6]Akinori Hidaka, Takio Kurita:
Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization. ICPR 2008: 1-4 - [c5]Kenji Watanabe, Akinori Hidaka, Takio Kurita:
Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization. IJCNN 2008: 1122-1128 - [c4]Akinori Hidaka, Takio Kurita:
Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector. IJCNN 2008: 1163-1169 - 2007
- [c3]Takuya Kobayashi, Akinori Hidaka, Takio Kurita:
Selection of Histograms of Oriented Gradients Features for Pedestrian Detection. ICONIP (2) 2007: 598-607 - 2006
- [c2]Takio Kurita, Tatsuya Hosoi, Akinori Hidaka:
Principal Component Analysis of Multi-view Images for Viewpoint-Independent Face Recognition. AVSS 2006: 55 - [c1]Akinori Hidaka, Kenji Nishida, Takio Kurita:
Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features. ICVS 2006: 48
Coauthor Index
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