| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2019)
Search Results: Keywords 'from:2020-03-16 to:2020-03-16'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2020-03-16 16:20 |
Kyoto | (Cancelled but technical report was issued) |
[Short Paper]
Aleatoric Uncertainty Estimation Based on Separate Formulation Takumi Kawashima, Qing Yu (Tokyo Univ.), Akari Asai (.UW), Daiki Ikami (NTT/Tokyo Univ.), Kiyoharu Aizawa (Tokyo Univ.)  PRMU2019-84 |
(To be available after the conference date) [more] | PRMU2019-84 pp.99-100 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:30 |
Kyoto | (Cancelled but technical report was issued) |
Faster Approximate Nearest Neighbor Search using Label Information of Images Onur Guler, Yusuke Matsui, Yoichi Sato (UTokyo) PRMU2019-85 |
Image retrieval systems commonly assume that the query images have the same distribution with the searched database. How... [more] | PRMU2019-85 pp.101-106 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:45 |
Kyoto | (Cancelled but technical report was issued) |
Image compression by colorization Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2019-86 |
Image compression techniques exploit the inherent psycho-visual limitations in human vision to reduce the number of bits... [more] | PRMU2019-86 pp.107-108 |
| PRMU, IPSJ-CVIM | 2020-03-16 17:00 |
Kyoto | (Cancelled but technical report was issued) |
Continuous Variables Estimation Through Classification Networks Ensembles Qianyuan Liu (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-87 |
With the development of deep learning, CNNs have shown outstanding performance on various tasks. Previous approaches fin... [more] | PRMU2019-87 pp.109-114 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:30 |
Kyoto | (Cancelled but technical report was issued) |
Object area extraction with biased training data set Ryo Nakamura, Yoshiaki Ueda, Jun Fujiki, Masaru Tanaka (Fukuoka Univ) PRMU2019-88 |
In order to extract an object region using machine learning, it is necessary to give a teacher label to each pixel. Prov... [more] | PRMU2019-88 pp.115-119 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:45 |
Kyoto | (Cancelled but technical report was issued) |
Rule Extraction from convolutional neural networks
-- Rule Extraction with A Pedagogical Method -- Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.) PRMU2019-89 |
We presented a decompositional method of rule extraction from convolutional neural networks in the past. However, we fou... [more] | PRMU2019-89 pp.121-126 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:30 |
Kyoto | (Cancelled but technical report was issued) |
Evaluation of Initial Value of Nelder-Mead Method in Hyperparameter Optimization of Deep Learning Shintaro Takenaga (Kindai Univ), Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi (AIST), Hitoshi Habe (Kindai Univ) PRMU2019-90 |
(To be available after the conference date) [more] | PRMU2019-90 pp.127-132 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:45 |
Kyoto | (Cancelled but technical report was issued) |
Deep neural network representation and learning of low-rank and sparse approximation
-- With application to celiac angiography under free breathing -- Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91 |
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] | PRMU2019-91 pp.133-138 |
| PRMU, IPSJ-CVIM | 2020-03-17 10:30 |
Kyoto | (Cancelled but technical report was issued) |
Neural network generalization under optimally evolved training perturbations. Subhajit Chaudhury, Toshihiko Yamasaki (UTokyo) |
[more] | |
| PRMU, IPSJ-CVIM | 2020-03-17 10:45 |
Kyoto | (Cancelled but technical report was issued) |
Semi-Supervised Temporal Segmentation of Industrial Operation Video based on Deep Metric Learning Daiki Kawamori, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2019-92 |
Today, cameras are often installed in many production sites for various purposes. However, untrimmed raw videos captur... [more] |
PRMU2019-92 pp.139-144 |
| PRMU, IPSJ-CVIM | 2020-03-17 11:00 |
Kyoto | (Cancelled but technical report was issued) |
Generating a 3D face with k-anonymity using GAN Ryosuke Kobayashi, Yuta Nakashima, Noboru Babaguchi (Osaka Univ.) PRMU2019-93 |
[more] | PRMU2019-93 pp.145-150 |
| PRMU, IPSJ-CVIM | 2020-03-17 11:15 |
Kyoto | (Cancelled but technical report was issued) |
Method of Cloning Attack against Image Recognizer and Its Countermeasure Shouta Kinbara, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2019-94 |
Recently, cloud-based image recognition services are getting popular. A server of these services has a sophisticated ima... [more] | PRMU2019-94 pp.151-156 |
| PRMU, IPSJ-CVIM | 2020-03-17 15:15 |
Kyoto | (Cancelled but technical report was issued) |
Applicability of Television Archives to the Support for Memory Loss Aiming at Risk and Disaster Prevention Norio Katayama, Hiroshi Mo, Shin'ichi Satoh (NII) PRMU2019-95 |
Since large-scale disasters and complicated crimes are increasing recently, it is crucial to keep the awareness of risk ... [more] | PRMU2019-95 pp.187-189 |
| PRMU, IPSJ-CVIM | 2020-03-17 15:30 |
Kyoto | (Cancelled but technical report was issued) |
Pedestrian Detection using Wide and Narrow Area Networks Misaki Kodaira (Nagoya Univ.), Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2019-96 |
[more] | PRMU2019-96 pp.191-195 |
| PRMU, IPSJ-CVIM | 2020-03-17 15:45 |
Kyoto | (Cancelled but technical report was issued) |
Ego-centric Activity Recognition of Rescue Dogs by Integrating visual, audio and sensor information Yuta Ide, Tsuyohito Araki (UEC), Ryunosuke Hamada, Kazunori Ohno (Tohoku Univ.), Keiji Yanai (UEC) PRMU2019-97 |
[more] | PRMU2019-97 pp.197-202 |
| PRMU, IPSJ-CVIM | 2020-03-17 16:00 |
Kyoto | (Cancelled but technical report was issued) |
Acceleration of Deep Learning Inference by Model Cascading Shohei Enomoto, Takeharu Eda (NTT) PRMU2019-98 |
In recent years, various applications have appeared due to the development of deep learning and the spread of IoT device... [more] | PRMU2019-98 pp.203-208 |
| PRMU, IPSJ-CVIM | 2020-03-17 16:50 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation for Bayes Error Estimation Capability of Large Geometric Margin Minimum Classification Error Training Ikuhiro Nishiyama (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-99 |
Previous studies suggested that the Large Geometric Margin-Minimum Classification Error (LGM-MCE) training method had th... [more] | PRMU2019-99 pp.231-236 |
| PRMU, IPSJ-CVIM | 2020-03-17 17:05 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100 |
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) tr... [more] | PRMU2019-100 pp.237-242 |
| PRMU, IPSJ-CVIM | 2020-03-17 17:20 |
Kyoto | (Cancelled but technical report was issued) |
Study on Maximum Bayes Boundary-ness Training for Pattern Classification Masahiro Senda, David Ha (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-101 |
[more] | PRMU2019-101 pp.243-248 |
[Return to Top Page]