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Special Interest Group on Computer Vision and Image Media (IPSJ-CVIM) (Searched in: 2017)
Search Results: Keywords 'from:2017-09-15 to:2017-09-15'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 09:30 |
Tokyo | 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)  PRMU2017-39 IBISML2017-11 |
[more] | PRMU2017-39 IBISML2017-11 pp.1-6 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:00 |
Tokyo | Quantum-Inspired Regression Forest Zeke Xie, Issei Sato (UTokyo) PRMU2017-40 IBISML2017-12 |
We propose a Quantum-Inspired Subspace(QIS) Ensemble Method for generating feature ensembles based on feature selections... [more] | PRMU2017-40 IBISML2017-12 pp.7-17 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:30 |
Tokyo | 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) PRMU2017-41 IBISML2017-13 |
A Gaussian mixture model (GMM) is a statistical model used in various fields such a pattern recognition, thus, it is imp... [more] | PRMU2017-41 IBISML2017-13 pp.19-26 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 11:00 |
Tokyo | Alternating Circulant Random Features for Semigroup Kernels Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada (UTokyo) PRMU2017-42 IBISML2017-14 |
In this paper, we propose novel random features termed ``alternating circulant random features,'' which are comprised of... [more] | PRMU2017-42 IBISML2017-14 pp.27-34 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 09:30 |
Tokyo | PRMU2017-43 IBISML2017-15 |
(To be available after the conference date) [more] | PRMU2017-43 IBISML2017-15 pp.35-42 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:00 |
Tokyo | Stabilization of Classification Performance by AdaBoost with Parallel-Adjustment using Error-Correcting Output Codes Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba) PRMU2017-44 IBISML2017-16 |
[more] | PRMU2017-44 IBISML2017-16 pp.43-50 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:30 |
Tokyo | [Short Paper]
Yu Oya, Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura (NTT) PRMU2017-45 IBISML2017-17 |
(To be available after the conference date) [more] | PRMU2017-45 IBISML2017-17 pp.51-52 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:45 |
Tokyo | Masaki Yano (Univ. Tsukuba/AIST), Masaki Onishi (AIST) PRMU2017-46 IBISML2017-18 |
Abstract [more] | PRMU2017-46 IBISML2017-18 pp.53-58 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 13:00 |
Tokyo | On MDL Learning of Gaussian Mixture Modlels Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) PRMU2017-47 IBISML2017-19 |
The final goal of this work is model sellection for gaussian mixture models(GMM) based on the minimum description length... [more] | PRMU2017-47 IBISML2017-19 pp.59-66 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 13:30 |
Tokyo | 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) PRMU2017-48 IBISML2017-20 |
Bayesian optimization is an effective method for black-box optimization problems such as hyperparameter tuning of machin... [more] | PRMU2017-48 IBISML2017-20 pp.67-74 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 14:00 |
Tokyo | Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) PRMU2017-49 IBISML2017-21 |
Posterior mean (PM) estimation is generally more accurate than maximum a posteriori probability (MAP) estimation when we... [more] | PRMU2017-49 IBISML2017-21 pp.75-82 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 13:30 |
Tokyo | 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) PRMU2017-50 IBISML2017-22 |
In this paper, we report prototyping of a computer automated and assisted marking system for handwritten math answers em... [more] | PRMU2017-50 IBISML2017-22 pp.91-96 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 14:00 |
Tokyo | 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.) PRMU2017-51 IBISML2017-23 |
Road marking inspection has been carried out by visual observation from the vehicle. However, visual inspection of large... [more] | PRMU2017-51 IBISML2017-23 pp.97-102 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 15:50 |
Tokyo | Face Image Generation System Using Attribute information with DCGANs Yurika Sagawa, Masafumi Hagiwara (Keio Univ.) PRMU2017-52 IBISML2017-24 |
In this paper, we propose an attribute added face image generation system using Deep Convolutional Generative Adversaria... [more] | PRMU2017-52 IBISML2017-24 pp.107-112 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 16:20 |
Tokyo | Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification Yutaro Shigeto (CIT), Masashi Shimbo, Yuji Matsumoto (NAIST) PRMU2017-53 IBISML2017-25 |
This paper proposes an inexpensive way to learn an effective dissimilarity function to be used for $k$-nearest neighbor ... [more] | PRMU2017-53 IBISML2017-25 pp.113-119 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 16:20 |
Tokyo | Text-Independent Writer Identification using Convolutional Neural Networks Cuong Tuan Nguyen, Takeya Ino, Hung Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2017-54 IBISML2017-26 |
[more] | PRMU2017-54 IBISML2017-26 pp.129-134 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 16:50 |
Tokyo | [Short Paper]
Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.), Toshio Tsuji (Hiroshima Univ.) PRMU2017-55 IBISML2017-27 |
This paper proposes a neural network based on the Johnson $S_{rm U}$ distribution that is capable of representing distri... [more] | PRMU2017-55 IBISML2017-27 pp.135-136 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 09:45 |
Tokyo | Time Series Classification based on Image Encoding Considering Anisotropy Shinya Iwamuro, Masaki Aono (TUT) PRMU2017-56 IBISML2017-28 |
[more] | PRMU2017-56 IBISML2017-28 pp.137-142 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 11:15 |
Tokyo | [Short Paper]
Research on Person Recognition from Human Activity Takayuki Yoshida, Basabi Chakraborty (Iwate Pref. Univ.) PRMU2017-57 IBISML2017-29 |
Currently, motion sensors are equipped as standard equipment in mobile terminals, list band type lifelog devices have al... [more] | PRMU2017-57 IBISML2017-29 pp.159-160 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 09:45 |
Tokyo | Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data Toru Takeyama, Kiyoshi Kogure (KIT) PRMU2017-58 IBISML2017-30 |
We have experimentally evaluated how the performance of activity recognition from acceleration data depends on the way o... [more] | PRMU2017-58 IBISML2017-30 pp.161-166 |
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