Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2014] | [2015] | [2016] | [2017] | [2018] | [2019] | [2020] | [Japanese] / [English]
PRMU2017-39
On Evaluation Function for Feature Space Considered Robustness to Individual Difference of Human Activities
Masaya Mori (NITTC), Takuma Akiduki (TUT), Hirotaka Takahashi (NUT), Yuto Omae (NITTC)
pp. 1 - 6
PRMU2017-40
Quantum-Inspired Regression Forest
Zeke Xie, Issei Sato (UTokyo)
pp. 7 - 17
PRMU2017-41
Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion
Naoki Hayashi (Tokyo Tech), Fumito Nakamura (Bosch)
pp. 19 - 26
PRMU2017-42
Alternating Circulant Random Features for Semigroup Kernels
Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada (UTokyo)
pp. 27 - 34
PRMU2017-43
(See Japanese page.)
pp. 35 - 42
PRMU2017-44
Stabilization of Classification Performance by AdaBoost with Parallel-Adjustment using Error-Correcting Output Codes
Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba)
pp. 43 - 50
PRMU2017-45
[Short Paper]
Yu Oya, Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura (NTT)
pp. 51 - 52
PRMU2017-46
Masaki Yano (Univ. Tsukuba/AIST), Masaki Onishi (AIST)
pp. 53 - 58
PRMU2017-47
On MDL Learning of Gaussian Mixture Modlels
Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.)
pp. 59 - 66
PRMU2017-48
Fast and General-Purpose Bayesian Optimization using Tree-Based Model with Gaussian Process
Hiroo Iwanaga (Univ. of Tokyo/NTT DATA MSI), Yukio Ohsawa (Univ. of Tokyo)
pp. 67 - 74
PRMU2017-49
Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE
Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.)
pp. 75 - 82
PRMU2017-50
Prototyping of a Computer Automated and Assisted Marking System for Handwritten Math Answers employing Online Handwriting Recognition and Clustering
Shinsuke Sasaki, Liang Xiuyu, Masaki Nakagawa (TUAT)
pp. 91 - 96
PRMU2017-51
Proposal of a method to detect damaged lane markings based on label propagation
Yasunari Kishimoto, Yasuhiro Iida, Sotetsu Iwamura (NTT), Makoto Kawano, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.)
pp. 97 - 102
PRMU2017-52
Face Image Generation System Using Attribute information with DCGANs
Yurika Sagawa, Masafumi Hagiwara (Keio Univ.)
pp. 107 - 112
PRMU2017-53
Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification
Yutaro Shigeto (CIT), Masashi Shimbo, Yuji Matsumoto (NAIST)
pp. 113 - 119
PRMU2017-54
Text-Independent Writer Identification using Convolutional Neural Networks
Cuong Tuan Nguyen, Takeya Ino, Hung Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.)
pp. 129 - 134
PRMU2017-55
[Short Paper]
Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.), Toshio Tsuji (Hiroshima Univ.)
pp. 135 - 136
PRMU2017-56
Time Series Classification based on Image Encoding Considering Anisotropy
Shinya Iwamuro, Masaki Aono (TUT)
pp. 137 - 142
PRMU2017-57
[Short Paper]
Research on Person Recognition from Human Activity
Takayuki Yoshida, Basabi Chakraborty (Iwate Pref. Univ.)
pp. 159 - 160
PRMU2017-58
Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data
Toru Takeyama, Kiyoshi Kogure (KIT)
pp. 161 - 166
PRMU2017-59
[Short Paper]
Opinion of education on privacy issues by sensing student images
-- Survey on the ideal form of data that can be taken out of school --
Yuko Ozasa, Takuya Enomoto (Keio Univ.)
pp. 181 - 183
PRMU2017-60
[Invited Talk]
Transportation aspect of deep neural network
Sho Sonoda (Waseda Univ.)
pp. 185 - 188
PRMU2017-61
A study of Cooking Behavior Recognition based on Deep Learning
Sho Oi, Tsuyoshi Ikegaya, Mutsuo Sano (Osaka Institute of Tech.)
pp. 195 - 201
PRMU2017-62
[Short Paper]
A Study on a Robust Method of Discriminating Daily Life Tools for ADL Recognition
Hiroki Kojima, Sho Ooi, Mutsuo Sano (OIT)
pp. 203 - 204
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.