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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2011-11-24 16:10 |
Miyagi | ECEI Departments, Graduate School of Engineering, Tohoku University | An image restoration method for Poisson observation using a latent variational approximation Hayaru Shouno (UEC), Ken Takiyama, Masato Okada (The Univ. of Tokyo)  NC2011-73 |
In this study, we treat an image restoration problem throughout a Poisson noise channel observation. The Poisson noise c... [more] | NC2011-73 pp.11-16 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Image Segmentation and Restoration using Switching State-Space Model and Variational Bayesian Method Ryota Hasegawa (Kansai Univ.), Ken Takiyama, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-67 |
We derive a deterministic algorithm that restores and segments image using switching state-space model and variational B... [more] | IBISML2011-67 pp.169-174 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | A latent variational approximation method of Total variation for noise reduction Hayaru Shouno (UEC), Masato Okada (The Univ. of Tokyo) IBISML2011-74 |
(To be available after the conference date) [more] | IBISML2011-74 pp.217-222 |
| NC, MBE (Joint) |
2011-03-07 17:15 |
Tokyo | Tamagawa University | Improvement of infant's action recognition accuracy by Bayesian estimation method introducing Bayesian Network
-- Experimental evaluation with supersonic sensor and camera images -- Shozo Ishikawa (UEC), Yoichi Motomura, Yoshifumi Nishida (AIST), Hayaru Shouno (UEC) NC2010-150 |
The purpose of this study is to prevent accident in infants. Therefore, we consider analysis the action of the behavior... [more] |
NC2010-150 pp.137-142 |
| NC, MBE (Joint) |
2011-03-09 11:05 |
Tokyo | Tamagawa University | Image restoration for computed tomography image with Bayesian approach Junta Ueki, Hayaru Shouno (UEC) NC2010-189 |
When a doctor diagnose patient，a doctor use a computed tomography image．When we get computed tomography image，we expect ... [more] | NC2010-189 pp.367-372 |
| NC, NLP | 2011-01-25 13:45 |
Hokkaido | Hokakido Univ. | A Probabilistic Decision-Making Method Using Conditioning and Loopy-BP Daisuke Kitakoshi, Shuhei Wakasaki, Masato Suzuki (TNCT) NLP2010-148 NC2010-112 |
In the research field of Bayesian network (BN), one of the stochastic models, a variety of probabilistic inference algor... [more] | NLP2010-148 NC2010-112 pp.135-140 |
| MI | 2010-11-15 13:25 |
Kyoto | Shimadzu Corp. | Bayesian modeling of medical X-ray computed tomography Shin-ichi Maeda (Kyoto Univ.), Atsunori Kanemura (ATR), Shin Ishii (Kyoto Univ.) MI2010-73 |
The tradeoff between the resolution of CT images and the amount of exposure to radiation leads us to desire a CT algorit... [more] | MI2010-73 pp.39-44 |
| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Image Segmentation by Region-Based Latent Variables and Belief Propagation Ryota Hasegawa, Seiji Miyoshi (Kansai Univ.), Masato Okada (Univ. of Tokyo) IBISML2010-71 |
To represent edges in image processing based on Bayesian inference, it is very effective to introduce latent variables. ... [more] | IBISML2010-71 pp.91-97 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-18 15:35 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | Bayesian Image Super-Resoluion of Linear Degradation Model with a Compound Markov Random Field Prior Takayuki Katsuki, Akira Torii, Masato Inoue (Waseda Univ.) NLP2010-10 NC2010-10 |
Super-resolution is a technique to estimate higher resolution image from multiple low-resolution observed images. We tre... [more] | NLP2010-10 NC2010-10 pp.63-68 |
| IBISML | 2010-06-15 09:30 |
Tokyo | Takeda Hall, Univ. Tokyo | [Invited Talk]
Statistical Machine Learning Based on Nonparametric Bayesian Models Takaki Makino (Univ. of Tokyo.) IBISML2010-14 |
Nonparametric Bayesian models are a new approach for machine learning, involving overfitting avoidance and model selecti... [more] | IBISML2010-14 pp.87-94 |
| NS, IN (Joint) |
2010-03-05 14:30 |
Miyazaki | Miyazaki Phoenix Seagaia Resort (Miyazaki) | Information Recommendation Modeling Method for Privacy Preservation Shogo Hachiya, Toshihiro Nishizono (Nihon Univ.) NS2009-254 |
A privacy concealing method is proposed for making recommendation models in information recommendation services based on... [more] | NS2009-254 pp.517-522 |
| MI | 2010-01-28 10:25 |
Okinawa | Naha-Bunka-Tenbusu | Image Reconstruction for Radon Transform using Bayes Inference Hayaru Shouno (Univ. of Elector-Comm.), Masato Okada (Univ. of Tokyo) MI2009-78 |
We propose an image reconstruction algorithm using Bayesian inference for the Radon transformed observation data, which ... [more] | MI2009-78 pp.19-24 |
| PRMU, SP, MVE, CQ | 2010-01-21 11:40 |
Kyoto | Kyoto Univ. | Online speaker clustering using an ergodic HMM and its application to meeting minute generation Takafumi Koshinaka, Kentaro Nagatomo, Kenji Satoh (NEC Corp.) CQ2009-62 PRMU2009-161 SP2009-102 MVE2009-84 |
A novel online speaker clustering method suitable for real-time applications is proposed. Using an ergodic hidden Marko... [more] | CQ2009-62 PRMU2009-161 SP2009-102 MVE2009-84 pp.39-44 |
| NC | 2009-10-24 10:15 |
Saga | Saga University | Construction of the maximizer of posterior marginal estimate by Langevin equation in probabilistic image processing Wataru Norimatsu, Jun-ichi Inoue (Hokkaido Univ.) NC2009-43 |
We formulate the maximizer of posterior marginal (MPM) estimate for Bayesian probabilistic image processing by using the... [more] | NC2009-43 pp.35-40 |
| PRMU | 2009-10-23 14:10 |
Hiroshima | Hiroshima Univ. | Gender Identification Method Using Facial Features by Active Appearance Model. Atsushi Higashi, Yohei Fukumizu, Hironori Yamauchi (Ritsumeikan Univ.) PRMU2009-89 |
Considering a communication between human and a computer, it is important to identify gender automatically to provide ap... [more] | PRMU2009-89 pp.103-108 |
| USN, IPSJ-UBI | 2009-07-16 14:30 |
Kyoto | ATR (Kyoto) | Applying a Probabilistic Inference Stream Processing Engine to a Camera Sensor Network Ryo Sato, Hideyuki Kawashima, Hiroyuki Kitagawa (Univ. of Tsukuba) USN2009-20 |
The purpose of this paper is to appropriately incorporate Bayesian networks into a relational stream processing system ... [more] |
USN2009-20 pp.69-74 |
| NC, MBE (Joint) |
2009-03-11 16:10 |
Tokyo | Tamagawa Univ. | Numerical Calculation of Stochastic Complexties through Optimization of Gaussian Mixture centered on MCMC Samples Takayuki Higo, Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-112 |
Stochastic complexity is a criterion for model selection and determination of hyper parameters in Bayesian learning．If s... [more] | NC2008-112 pp.51-56 |
| NC, MBE (Joint) |
2009-03-13 13:25 |
Tokyo | Tamagawa Univ. | Infant's Indoor Behavior Recognition using Bayesian Inference in combination with Tree Augumented Naive Bayes and Baysian Network Shouzou Ishikawa (Tokyo Metropolitan Coll. of Ind Tech.), Yoichi Motomura, Yoshifumi Nishida (Digital Human Resarch Center,National Inst. of Adv Ind and Tech.), Kazuyuki Hara (Tokyo Metropolitan Coll. of Ind Tech.) NC2008-156 |
The purpose of this study is to prevent injury in children. It is important to recognize and observe infant's behavior ... [more] |
NC2008-156 pp.313-318 |
| NC, MBE (Joint) |
2009-03-13 13:50 |
Tokyo | Tamagawa Univ. | Consumer Behavior Modeling Based on Large Scale Data and Cognitive Structures Tsukasa Ishigaki, Yoichi Motomura, Hei Chan (National Inst. of Adv Ind Sci and tech.) NC2008-157 |
Large scale data of human behavior records in daily life or shopping such as POS data can be observed by a development o... [more] | NC2008-157 pp.319-324 |
| NC, MBE (Joint) |
2009-03-13 15:40 |
Tokyo | Tamagawa Univ. | Sparse Bayesian Learning of Expansion Filters for Color Images Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2008-174 |
Classical methods for image expansion such as bicubic interpolation and splines can be understood as linear filters, who... [more] | NC2008-174 pp.417-422 |
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