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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ET | 2017-03-10 15:05 |
Ehime | National Institute of Technology, Niihama College | Effect of the Distance Golf Swing Instruction for University Students Kana Hamagami (Waseda Univ.), Masanori Yatagai (Kyoritsu Women's Univ.), Yusuke Kometani, Keizo Nagaoka (Waseda Univ.)  ET2016-103 |
Distance practical instruction is one of the effective method to compensate for lack of practical leaders. In this resea... [more] | ET2016-103 pp.55-60 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 09:00 |
Hokkaido | Hokkaido Univ. | A Comparative Evaluation of Deep Features
-- Classifier-based Learning vs. Distance Metric Learning. -- Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa (UTokyo) |
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classif... [more] | |
| EA, EMM | 2016-11-18 10:45 |
Oita | Compal Hall (Oita) | Quality estimation of speech masking system using subjective and objective evaluation scores. Yosuke Kobayashi (Muroran Inst. of Tech.), Kazuhiro Kondo (Yamagata Univ.) EA2016-59 EMM2016-65 |
Currently, speech masking systems make use of pre-recorded speech signals to generate maskers. Our previous report, we p... [more] | EA2016-59 EMM2016-65 pp.67-72 |
| AI | 2015-12-19 10:50 |
Okinawa | A Study of Local Distance Metric Learning and Classifying Method Based on the Local Distances Saito Hiroshi, Mikawa Kenta, Goto Masayuki (Waseda Univ.) AI2015-50 |
The distance metric learning is the approach which enables to acquire a good metric for automatic data classification. I... [more] | AI2015-50 pp.143-148 |
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| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Approximate Distribution Followed by A Principal Component Term Corresponding with the Population Eigenvalue of zero value in the Q Statistic Yasuyuki Kobayashi (Teikyo Univ.) IBISML2015-52 |
The Mahalanobis distance requires all the population eigenvalues of the population covariance matrix larger than zero. H... [more] | IBISML2015-52 pp.1-7 |
| IT | 2015-09-04 10:15 |
Ishikawa | Hakusan Shobutei | Nested Lattice Hashing Scheme for Similarity Search Applications Thanh Xuan Nguyen, Ricardo Antonio Parrao Hernandez, Brian Michael Kurkoski (JAIST) IT2015-37 |
This research targets improving similarity search efficiency using a nested lattice hashing scheme. Similarity search ha... [more] | IT2015-37 pp.19-24 |
| KBSE | 2015-03-06 10:45 |
Tokyo | The University of Electro-Communications | Development of a Cloud-based Authoring Tool for Synchronizing Slide Presentation with Live Video Stream on the WebELS Platform Arjulie John Berena (NII), Sila Chunwijitra (NECTEC), Mohammed Osamnia, Hitoshi Okada, Haruki Ueno (NII) |
The accelerating growth of the Internet over the last decade has brought technological advances that is reshaping our ed... [more] | |
| VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 16:15 |
Oita | B-ConPlaza | General-Purpose Pattern Recognition Processor Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power Shogo Yamasaki, Toshinobu Akazawa, Fengwei An, Hans Juergen Mattausch (Hiroshima Univ.) VLD2014-75 DC2014-29 |
A learning and pattern recognition processors for the k nearest neighbor (k-NN) recognition algorithm using a nearest Eu... [more] | VLD2014-75 DC2014-29 pp.21-26 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Approximate Models of Probability Distributions for Principal Components of Sample Mahalanobis Distances
-- About Each Element and Partial Sum of Sample Mahalanobis Distances -- Yasuyuki Kobayashi (Teikyo Univ.) IBISML2014-37 |
Probability distributions of the principal components and their partial sum, into which a sample Mahalanobis distance is... [more] | IBISML2014-37 pp.17-24 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Target Shift Adaptation for Conditional Density Estimation and Regression Tuan Duong Nguyen (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-55 |
We consider the problem of domain adaptation under target shift scenario, where the target marginal distributions p(y) d... [more] | IBISML2014-55 pp.155-160 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance Hideko Kawakubo (Tokyo Inst. of Tech.), Marthinus Christoffel du Plessis, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-71 |
Due to sample selection bias or non-stationarity of the environment, the class balance often changes between training an... [more] | IBISML2014-71 pp.271-278 |
| IT | 2014-07-17 10:10 |
Hyogo | Kobe University | Distance Metric Learning with Low Computational Complexity based on Ensemble of Low-dimensional Matrixes Hiroshi Saito, Fumihiro Yamazaki, Kenta Mikawa, Masayuki Goto (Waseda Univ.) IT2014-12 |
The distance metric learning is the approach which enables to acquire a good metric for automatic data classification. I... [more] | IT2014-12 pp.7-12 |
| ET | 2014-06-14 13:40 |
Shizuoka | Shizuoka Univ. (Hamamatsu Campus) | Term co-occurence base analysis of note content student taken in a blended learning environment Minoru Nakayama (Tokyo Inst. of Tech.), Kouichi Mutsuura (Shinshu Univ.), Hiroh Yamamoto (Tokyo Inst. of Tech.) ET2014-14 |
Note contents students taken during a blended learning course were evaluated to develop an appropriate instruction at ... [more] |
ET2014-14 pp.33-38 |
| ET | 2014-03-08 10:05 |
Kochi | Kochi National College of Technology | A Study of an Easy Distance Learning System with Tablet Devices Isao Nishihara (Toyama Pref. Univ.), Toshikazu Shimada (System Cobo Corp.), Shizuo Nakano (Toyama Col. of Welfare Science) ET2013-107 |
In this paper, the easily construction of the distance learning system by one person, is proposed. Especially, it was ai... [more] | ET2013-107 pp.89-94 |
| IBISML | 2014-03-06 14:30 |
Nara | Nara Women's University | Study about Over-Learning Phenomenon of Sample Mahalanobis Distances Yasuyuki Kobayashi (Teikyo Univ.) IBISML2013-70 |
When the learning sample size n is near the dimensionality p, the discrepant phenomenon between the distribution of the ... [more] | IBISML2013-70 pp.23-30 |
| ICD | 2014-01-29 14:00 |
Kyoto | Kyoto Univ. Tokeidai Kinenkan | Development of a Learning and Recognition SoC Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power and Error-Free Operation Shogo Yamasaki, Toshinobu Akazawa, Fengwei An, Hans Juergen Mattausch (Hiroshima Univ) ICD2013-136 |
In this study, we propose the hardware implementation of the k-nearest neighbor method on an SoC with learning and recog... [more] | ICD2013-136 pp.85-88 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-24 15:30 |
Osaka | People Re-identification with Auxiliary Knowledge Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase (Nagoya Univ.) PRMU2013-114 MVE2013-55 |
There is an intrinsic issue in multiple-shot person re-identification: only a few training data for learning tasks are ... [more] |
PRMU2013-114 MVE2013-55 pp.251-255 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:00 |
Tottori | A proposal of simple correcting scheme for sample Mahalanobis distances using Delta method Yasuyuki Kobayashi (Teikyo Univ.) PRMU2013-37 IBISML2013-17 |
In statistical machine learning technology, it is difficult to ignore errors between sample Mahalanobis distances estima... [more] | PRMU2013-37 IBISML2013-17 pp.25-30 |
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| PRMU | 2013-03-14 10:45 |
Tokyo | Estimation of the distance and orientation of heavy vehicles using local image features and a 3D model Shunsuke Mori, Katsunori Okajima (Yokohama National Univ.) PRMU2012-189 |
In the present paper , we proposed a new two-stage image processing method for estimating the distance and orientation o... [more] | PRMU2012-189 pp.55-60 |
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| NC | 2012-10-04 17:20 |
Fukuoka | Kyushu Institute of Technology (Wakamatsu Campus) | Improvement of Gesture Recognition based on Higher-rank Self-Organizing Map with Graph-based Distance Norihiro Fujita, Keiichi Horio (Kyushu Inst. of Tech.) NC2012-47 |
The authors proposed a gesture recognition method which is based on higher-rank self-organizing map. In the method, a ge... [more] | NC2012-47 pp.61-66 |
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