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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2019)
Search Results: Keywords 'from:2019-12-19 to:2019-12-19'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2019-12-19 10:30 |
Oita | A switching Markov model for evaluation of food functionality Tsukasa Hokimoto, Toshio Uchiyama (HIU)  PRMU2019-46 |
For analytic purposes of the scientific processes on how food influence our health, the measurement data on medical or g... [more] | PRMU2019-46 pp.1-6 |
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| PRMU | 2019-12-19 10:45 |
Oita | PRMU2019-47 |
(To be available after the conference date) [more] | PRMU2019-47 pp.7-12 |
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| PRMU | 2019-12-19 11:00 |
Oita | Scene-Independent Optimum View Interpolation Filters for Stereo Images Akira Kubota, Seiji Nakatsubo (Chuo Univ.) PRMU2019-48 |
In this paper, we theoretically derive view-interpolation filters that reconstruct intermediate view images from stereo ... [more] | PRMU2019-48 pp.13-16 |
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| PRMU | 2019-12-19 11:15 |
Oita | A Study on the Extraction Method of Handwritten Chinese Character's Structure Using the Simplicial Complex and Simplicial Approximation Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2019-49 |
We have been investigating a method to extract structural information of handwritten chinese characters, realizing how t... [more] | PRMU2019-49 pp.17-21 |
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| PRMU | 2019-12-19 13:30 |
Oita | PRMU2019-50 |
We propose a new problem setting and method that uses cancer type ratio as weak supervision for semi-supervised learning... [more] | PRMU2019-50 pp.23-27 |
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| PRMU | 2019-12-19 13:45 |
Oita | Personalized Face-pose Estimation Using Incrementally Updated Face-shape Parameters Makoto Sei (ATR/Ritsumeikan Univ.), Akira Utsumi (ATR), Hirotake Yamazoe, Joo-Ho Lee (Ritsumeikan Univ.) PRMU2019-51 |
This paper proposes a deep learning method for face pose estimation with an incremental personalization mechanism to upd... [more] | PRMU2019-51 pp.29-34 |
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| PRMU | 2019-12-19 14:00 |
Oita | Efficient Object Detection for Railway Crossing Combining Image Classification and Object Detection Kaisei Shimura, Yoichi Tomioka, Qiangfu Zhao (UoA) PRMU2019-52 |
In this research, we aim to develop a system to support drivers to prevent accidents when driving an mobility scooter. A... [more] | PRMU2019-52 pp.35-39 |
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| PRMU | 2019-12-19 14:50 |
Oita | [Invited Talk]
TBA Takayuki Hoshi (Pixie Dust Technologies) |
Airborne ultrasonic phased arrays enlarged the size of work space and added an extra degree of freedom to conventional a... [more] | ||
| PRMU | 2019-12-19 15:50 |
Oita | Report of the 23rd PRMU Algorithm Contest
-- 2019 PRMU Challenge on Old Japanese Character Recognition -- Tomo Miyazaki (Tohoku Univ.), Naoki Katsura (Tsukuba Univ.), Ayumu Nagai (Gunma Univ.), Toru Aoike (National Diet Library), Tang Yiping (Kyushu Univ.), Takuya Suzuki (Chukyo Univ.), Toru Tamaki (Hiroshima Univ.), Yusuke Uchida (DeNA), Masashi Nishiyama (Tottori Univ.), Takanori Ogata (ABEJA), Keiichiro Shirai (Shinshu Univ.), Kazuaki Nakamura (Osaka Univ.), Asanobu Kitamoto, Tarin Clanuwat (NII) PRMU2019-53 |
[more] | PRMU2019-53 pp.41-47 |
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| PRMU | 2019-12-20 10:00 |
Oita | Analysis method and results of solution diversity about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2019-54 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data an... [more] |
PRMU2019-54 pp.49-54 |
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| PRMU | 2019-12-20 10:15 |
Oita | Minority Class Identification by Rule Ensembles Yuya Yokoyama, Mineichi Kudo (Hokkaido Univ.) PRMU2019-55 |
[more] | PRMU2019-55 pp.55-59 |
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| PRMU | 2019-12-20 10:30 |
Oita | Basic Study and Application of Discrimination Problem of Classifiers Michiya Abe (UTokyo/NII), Shin'ichi Satoh (NII) PRMU2019-56 |
We proposed discrimination problem of classifiers, which aims to discriminate two classifiers are same in the sense of... [more] |
PRMU2019-56 pp.61-67 |
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| PRMU | 2019-12-20 10:45 |
Oita | An Efficient Block-wise Object Detection Method using Consecutive Frames for High Resolution Video Kazuki Hozumi, Yoichi Tomioka (UoA) PRMU2019-57 |
In recent years, in the fields such as surveillance cameras and in-vehicle camera systems, efficient deep-learning-based... [more] | PRMU2019-57 pp.69-74 |
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| PRMU | 2019-12-20 13:00 |
Oita | [Invited Talk]
TBA Yuta Sugiura (Keio) |
[more] | ||
| PRMU | 2019-12-20 14:15 |
Oita | Estimation of $q$-value of $q$-normal distribution through CNN Yukito Miyakawa, Ryosuke Hosaka, Masaru Tanaka (Fukuoka Univ.) PRMU2019-58 |
It is usually assumed that the given data follow a normal distribution or $t$ distribution for the sake of simplicity.Th... [more] | PRMU2019-58 pp.75-80 |
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| PRMU | 2019-12-20 14:30 |
Oita | Kernelization of Multi-Label Discriminative Laplacian Eigenmap Mariko Tai, Mineichi Kudo (Hokkaido Univ.) PRMU2019-59 |
[more] | PRMU2019-59 pp.81-86 |
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| PRMU | 2019-12-20 14:45 |
Oita | Non-Orthogonal Cross Point Detection with Function and Numerical Models Nobuhiko Wakai (Panasonic), Takeo Azuma (OmniVision Technologies) PRMU2019-60 |
This paper studies non-orthogonal cross point detection problem for a fish-eye camera calibration. We suggest that cross... [more] | PRMU2019-60 pp.87-92 |
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| PRMU | 2019-12-20 15:40 |
Oita | Improvement of Detection Accuracy of Small Head Noddings Yuki Kojo, Mineichi Kudo (Hokkaido Univ.) PRMU2019-61 |
Head nodding plays an important role in daily communication． Therefore, this study aims to improve the detection accurac... [more] | PRMU2019-61 pp.93-97 |
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| PRMU | 2019-12-20 15:55 |
Oita | Occlusion-Robust Pose-Feature Representation Learning for Object Pose Estimation from a Depth Image Hiroki Tatemichi, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Ayako Amma (Toyota) PRMU2019-62 |
In order for a robot to carry an object, it is necessary to estimate the pose of the object. However, when an object is ... [more] | PRMU2019-62 pp.99-104 |
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| PRMU | 2019-12-20 16:10 |
Oita | PRMU2019-63 |
(To be available after the conference date) [more] | PRMU2019-63 pp.105-110 |
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