Akinori Hidaka

21 papers B 7C 2Misc 1Journal 3Unranked 8
YearRankTypeTitle / Venue / Authors
2024 B conf
Layer Dependent Artificial Representation and Selectivity of Model Neurons in the AlexNet Model Trained for Object Classification.
IJCNN
Nobuhiko Wagatsuma, Kazuma Ito, Akinori Hidaka
2023 — conf
Improvement in On-road Object Detection Using YOLOv7 with High-order Spatial Interaction and Attention Mechanism.
CyberC
Yuning Shi, Akinori Hidaka
2022 J jnl
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model.
Frontiers Comput. Neurosci.
Nobuhiko Wagatsuma, Akinori Hidaka, Hiroshi Tamura
2022 — conf
Improvement of On-Road Object Detection Using Inter-region and Intra-region Attention for Faster R-CNN.
IW-FCV
Ryunosuke Ikeda, Akinori Hidaka
2018 C conf
Understanding Deformation Motion of Colloidal Nanosheets from CLSM Images using Deep Learning-based Approach.
ICARCV
Hiroyuki Fujioka, Jarupat Sawangphol, Shinya Anraku, Nobuyoshi Miyamoto, Akinori Hidaka, Hiroyuki Kano
2017 B conf
Reconstructing dynamic font-based Chinese characters using support vector machine.
SMC
Hiroyuki Fujioka, Wenli Zhu, Akinori Hidaka, Hiroyuki Kano
2016 J jnl
Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine.
IEICE Trans. Inf. Syst.
Akinori Hidaka, Takio Kurita
2014 — conf
Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model.
S+SSPR
Akinori Hidaka, Takio Kurita
2013 B conf
Sparse Logistic Discriminant Analysis.
SMC
Takio Kurita, Kenji Watanabe, Akinori Hidaka
2012 — conf
Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression.
SSPR/SPR
Akinori Hidaka, Takio Kurita
2011 — conf
Discriminant kernels based support vector machine.
ACPR
Akinori Hidaka, Takio Kurita
2009 Misc conf
Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions.
MVA
Tetsu Matsukawa, Akinori Hidaka, Takio Kurita
2009 — conf
Co-occurrence of Intensity and Gradient Features for Object Detection.
ICONIP (2)
Akinori Hidaka, Takio Kurita
2008 B conf
Automatic factorization of biological signals by using Boltzmann non-negative matrix factorization.
IJCNN
Kenji Watanabe, Akinori Hidaka, Takio Kurita
2008 B conf
Fast training algorithm by Particle Swarm Optimization and random candidate selection for rectangular feature based boosted detector.
IJCNN
Akinori Hidaka, Takio Kurita
2008 B conf
Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization.
ICPR
Akinori Hidaka, Takio Kurita
2008 — conf
Object Detection by Selective Integration of HLAC Mask Features.
BLISS
Akinori Hidaka, Takio Kurita, Nobuyuki Otsu
2008 J jnl
Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features.
IEICE Trans. Inf. Syst.
Akinori Hidaka, Kenji Nishida, Takio Kurita
2007 — conf
Selection of Histograms of Oriented Gradients Features for Pedestrian Detection.
ICONIP (2)
Takuya Kobayashi, Akinori Hidaka, Takio Kurita
2006 C conf
Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features.
ICVS
Akinori Hidaka, Kenji Nishida, Takio Kurita
2006 B conf
Principal Component Analysis of Multi-view Images for Viewpoint-Independent Face Recognition.
AVSS
Takio Kurita, Tatsuya Hosoi, Akinori Hidaka