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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICSS, IPSJ-SPT | 2024-03-22 11:20 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Evaluation of Feature Inference Risk from Explainable AI metrics LIME and Shapley Values Ryotaro Toma, Hiroaki Kikuchi (Meiji Univ.)  ICSS2023-88 |
Explainability has gained attention to ensure fairness and transparency in machine learning models, providing users with... [more] | ICSS2023-88 pp.137-144 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-19 10:20 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Evaluation of Multi-edge Object Detection System using Deep Feature Compression Transmission Kohji Yamada, Yuichiro Kora, Meguru Yamazaki, Xuying Lei (Fujitsu) SeMI2023-13 |
Collaborative Intelligence has been proposed to divide DNN model and perform inferences collaborating on edge and cloud.... [more] | SeMI2023-13 pp.53-57 |
| TL | 2023-03-11 14:15 |
Online | Online | Emergent Inference in Grammatical Machineries
-- Acquisition of Associative Knowledge into Deductive Systems -- Yasunari Harada (Waseda Univ.) TL2022-39 |
The essence of linguistic communication lies in "exchange of meanings" and "meaningful exchanges of messages." In recent... [more] | TL2022-39 pp.30-35 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 16:10 |
Online | Online | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] | NC2021-8 IBISML2021-8 pp.55-61 |
| MBE, NC (Joint) |
2015-07-18 10:50 |
Tokushima | The University of Tokushima | Feature extraction based on generation of Bayesian Network Kaneharu Nishino, Mary Inaba (Univ. Tokyo) NC2015-13 |
Networks used in Deep Learning generally have feedforward architectures, and they can not use top-down information for r... [more] | NC2015-13 pp.7-11 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-18 15:20 |
Hokkaido | Hokkaido Univ. | Consideration of Perceptual Segmentation Algorithm for Natural Color Images Naoya Ishikura, Takehito Tani, Junji Maeda (Muroran Inst. of Tech.) ITS2012-31 IE2012-111 |
Image segmentation is a useful preprocessing in image recognition. The purpose of this paper is to develop the perceptu... [more] |
ITS2012-31 IE2012-111 pp.71-76 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-20 10:20 |
Hokkaido | Hokkaido Univ. | Automatic Determination of Number of Regions in Perceptual Segmentation of Color Images Masanori Fujiwara, Kyohei Shima, Naoya Ishikura, Junji Maeda (Muroran IT) ITS2011-30 IE2011-106 |
Image segmentation is a useful preprocessing in image recognition. The purpose of this paper is to develop the perceptua... [more] | ITS2011-30 IE2011-106 pp.15-20 |
| ITE-AIT, IE, ITE-HI, ITE-ME, ITS | 2010-02-16 10:00 |
Hokkaido | Graduate School of Information and Technology, Hokkaido Univ. | Perceptual Segmentation of Natural Color Images by Fuzzy-Based Split-and-Merge Algorithm and It's Evaluation Tatsuya Higashikawa, Junji Maeda (Muroran Inst. of Tech.) ITS2009-72 IE2009-166 |
The purpose of this paper is to develop the perceptual segmentation algorithm of natural color images, and to quantitati... [more] | ITS2009-72 IE2009-166 pp.197-202 |
| IE, ITS, ITE-HI, ITE-ME, ITE-AIT | 2009-02-05 15:45 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | Perceptual Segmentation of Natural Color Images by Fuzzy Split-and-Merge Algorithm and Its Application to Dermoscopy Images Shogo Yamauchi, Tatsuya Higashikawa, Takehiro Harada, Junji Maeda (Muroran Inst. of Tech.) ITS2008-76 IE2008-246 |
The purpose of this paper is perceptual segmentation of natural color images and its application to the segmentation of ... [more] | ITS2008-76 IE2008-246 pp.239-244 |
| ITE-ME, ITS, IE, ITE-HI, ITE-AIT | 2007-02-22 11:40 |
Hokkaido | Hokkaido University | Segmentation of Natural Color Images Using Fuzzy-Region Growing Algorithm Toshiaki Kuraba, Hiroto Yokogishizawa, Junji Maeda (Muroran IT) |
In this paper, we propose fuzzy-region growing algorithm to segment natural color images that suppresses an excessive pa... [more] | ITS2006-47 IE2006-232 pp.23-28 |
| ITE-ME, ITS, IE, ITE-HI, ITE-AIT | 2007-02-22 12:05 |
Hokkaido | Hokkaido University | Perceptual Segmentation of Natural Color Images Using Hierarchical Algorithm Akimitsu Kawano, Hiroto Yokogishizawa, Junji Maeda (Muroran IT) |
The purpose of this paper is perceptual segmentation of natural color images containing man-made objects and natural obj... [more] | ITS2006-48 IE2006-233 pp.29-34 |
| NC | 2006-06-16 09:40 |
Okinawa | OIST | Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments Hajime Fujita, Yutaka Nakamura, Shin Ishii (NAIST) |
We propose a feature extraction technique for decision-theoretic planning problems in partially observable stochastic do... [more] | NC2006-24 pp.13-18 |
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