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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 15:25 |
Online | Online (Online) | [Invited Talk]
A 1-inch 17Mpixel 1000fps Block-Controlled Coded-Exposure Back-Illuminated Stacked CMOS Image Sensor for Computational Imaging and Adaptive Dynamic Range Control Hironobu Murata, Tomoki Hirata, Hideaki Matsuda, Yojiro Tezuka, Shiro Tsunai (Nikon)  SDM2021-33 ICD2021-4 |
[more] | SDM2021-33 ICD2021-4 pp.18-21 |
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise (Mie) | Effect of Image Color Compensation on Receiving Like in Instagram
-- A Study Considering Category Classification of Images -- Inomata Kentaro, Takahashi Aya, Shinto Hikari, Nagata Noriko (Kwansei Gakuin Univ.), Shoda Marie, Kuribayashi Hidenori, Hoshuyama Hideo, Fujinawa Nobuhiro (Nikon) |
In Instagram, evaluations with “Like” are given to the images as a communication between users. In this research, we exa... [more] | ||
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) (Hokkaido) | [Poster Presentation]
Discovery of Governing equations in Reproducing Kernel Hilbert space Yosuke Otsubo (Nikon), Shinichi Nakajima (TUB/RIKEN) IBISML2018-65 |
It has great value in lots of scientific fields, e.g., physics, chemistry, and biology, to discover governing equations ... [more] | IBISML2018-65 pp.159-166 |
| MBE, NC, NLP (Joint) |
2018-01-27 10:55 |
Fukuoka | Kyushu Institute of Technology (Fukuoka) | Implementation of a Simple Experiment System for Measuring Multiple Biosignals during Image Selection Takuma Hashimoto (SIT), Kensaku Fukumoto, Tomomi Takashina, Yoshikazu Hirayama (Nikon), Michiko Ohkura, Ryota Horie (SIT) MBE2017-72 |
[more] | MBE2017-72 pp.33-36 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. (Kyoto) | Structural Change Detection in Lithography Systems Yosuke Otsubo (NIKON), Masashi Sugiyama (RIKEN/UTokyo) IBISML2016-45 |
A lithography system, which consists of various mechanical units such as high-precision optical systems, prints circuit ... [more] | IBISML2016-45 pp.1-8 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2016-02-23 11:15 |
Hokkaido | Hokkaido Univ. (Hokkaido) | Effect of frame in observing no-disparity realistic image Hisaki Nate, Nobutaka Natsui (Tokyo Polytechnic Univ.), Yutaka Ichihara, Nobuyuki Miyake, Yoshijiro Usio (Nikon) |
[more] | |
| WIT | 2015-10-26 09:20 |
Yamaguchi | Kawatana Grand Hotel (Yamaguchi) | Effect of Disparity Distribution on a feeling of discomfort during 3D image viewing Hiroyuki Izumi (UOEH), Nobuyuki Miyake, Yoshijirou Ushio, Yutaka Ichihara (Nikon), Nobuhiro Fujiki (UOEH) |
[more] | |
| SDM | 2015-01-27 14:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Tokyo) | [Invited Talk]
High-precision Wafer-level Cu-Cu Bonding for 3DICs Masashi Okada, Isao Sugaya, Hajime Mitsuishi, Hidehiro Maeda, Shigeto Izumi, Hosei Nakahira, Kazuya Okamoto (Nikon) SDM2014-140 |
[more] | SDM2014-140 pp.21-24 |
| EID, ITE-IDY, IEIJ-SSL, IEE-EDD, SID-JC [detail] | 2015-01-23 09:16 |
Kyoto | Ryukoku University (Kyoto) | Enlargement methods of viewing angle and depth in Edge-based DFD display Tomoki Soumiya (The Univ. of Tokushima), Hidenori Kuribayashi (Nikon), Hirotsugu Yamamoto (Utsunomiya Univ./The Univ. of Tokushima), Shiro Suyama (The Univ. of Tokushima) |
We have studied a new DFD (Depth fused 3D) display, called “Edge-based DFD display”, whose front or rear image is only t... [more] | |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. (Aichi) | [Poster Presentation]
Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation Shinichi Nakajima (TU Berlin), Issei Sato, Masashi Sugiyama (Univ. of Tokyo), Kazuho Watanabe (Toyohashi Univ. of Tech.), Hiroko Kobayashi (Nikon) IBISML2014-64 |
Latent Dirichlet allocation (LDA) is a popular generative model of various objects such as texts and images, where an ... [more] |
IBISML2014-64 pp.219-226 |
| HIP | 2014-03-18 10:20 |
Tokyo | Tokyo Univ. (Tokyo) | Tangential Force Input to Touch Panel with Shear Deformation of Gel Layer (II)
-- Comparison with the existing vertical force measurement method -- Yuriko Nakai, Shinya Kudo, Ryuta Okazaki (Univ. of Electro-Comm.), Hiroyuki Kajimoto (Univ. of Electro-Comm./JST), Hidenori Kuribayashi (Nikon) HIP2013-79 |
[more] | HIP2013-79 pp.3-8 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan (Tokyo) | [Poster Presentation]
Global Solvers for Variational Bayesian Low-rank Subspace Clustering Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37 |
Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning, is generally per... [more] |
IBISML2013-37 pp.7-14 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan (Tokyo) | [Poster Presentation]
Efficient Exhaustive Search for Variable Selection with Exchange Monte Carlo Method Kenji Nagata (Univ. of Tokyo), Jun Kitazono (JST), Shinichi Nakajima (Nikon), Satoshi Eifuku (Fukushima Medical Univ.), Ryoi Tamura (Univ. of Toyama), Masato Okada (Univ. of Tokyo) IBISML2013-61 |
[more] | IBISML2013-61 pp.191-196 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan (Tokyo) | [Poster Presentation]
Learning Common Features of Parametrized Tasks Ichiro Takeuchi, Tatsuya Hongo (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.), Shinichi Nakajima (Nikon) IBISML2013-66 |
We introduce a novel formulation of multi-task learning (MTL) called parametric task learning (PTL) that can systematica... [more] | IBISML2013-66 pp.225-232 |
| PRMU | 2013-03-14 17:30 |
Tokyo | (Tokyo) | Automatic Generation of Subjective Sentence from Image for Social Networking and Micro-blog Services Hiroko Kobayashi, Nobuhiro Fujinawa, Hidenori Kuribayashi, Toyoharu Sasaki, Takeshi Matsuo, Shinichi Nakajima (Nikon) PRMU2012-203 |
Generating sentences from a given image is becoming an active area of research. Obtaining sentences that objectively de... [more] |
PRMU2012-203 pp.135-139 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-18 11:00 |
Hokkaido | Hokkaido Univ. (Hokkaido) | Evaluation of no disparity realistic image and stereoscopic image from the visual comfort Nobutaka Natsui, Hisaki Nate, Kazuo Ishikawa (Tokyo Polytech. Univ.), Yutaka Ichihara, Nobuyuki Miyake, Yoshijiro Ushio (NIKON) |
[more] | |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. (Tokyo) | On Dimensionality Recovery Guarantee of Variational Bayesian PCA Shinichi Nakajima (Nikon), Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2012-66 |
The variational Bayesian (VB) approach is one of the best tractable approximations to the Bayesian estimation, and it ... [more] |
IBISML2012-66 pp.229-236 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. (Nara) | Generalization of Matrix Factorization for Robust PCA Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2011-61 |
Principal component analysis (PCA) can be regarded as approximating a data matrix with a low-rank one by imposing spar... [more] |
IBISML2011-61 pp.127-134 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-05 10:00 |
Hokkaido | (Hokkaido) | Global Solution of Variational Bayesian Matrix Factorization Under Matrix-wise Independence Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) PRMU2011-58 IBISML2011-17 |
Variational Bayesian matrix factorization (VBMF) efficiently approximates the posterior distribution of factorized mat... [more] |
PRMU2011-58 IBISML2011-17 pp.1-8 |
| IBISML | 2011-03-29 10:30 |
Osaka | Nakanoshima Center, Osaka Univ. (Osaka) | On Automatic Dimensionality Selection in Probabilistic PCA Shinichi Nakajima (Nikon), Masashi Sugiyama (Tokyo Inst. of Tech./JST), Derin Babacan (Illinois of.Univ.) IBISML2010-123 |
In probabilistic PCA, the fully Bayesian estimation is computationally intractable. To cope with this problem, two ty... [more] |
IBISML2010-123 pp.131-138 |
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