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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Auto-Colorization of Monochrome Images using Object Recognition and Markov Random Field Hitoshi Matsuo, Takaki Makino (Univ. Tokyo)  IBISML2012-83 |
We introduce a new auto-colorization method which appends color information to a monochrome picture based on a training ... [more] | IBISML2012-83 pp.351-358 |
| R | 2012-05-25 17:20 |
Shimane | A Note on Software Performability Evaluation with Systemability Koichi Tokuno, Shigeru Yamada (Tottori Univ.) R2012-10 |
In this paper, we discuss the performability evaluation model for the software-based system, introducing the concept of ... [more] | R2012-10 pp.53-58 |
|
| MBE, NC (Joint) |
2012-03-16 13:20 |
Tokyo | Tamagawa University | Item Response Theory with Correlations among Items Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2011-187 |
Item response theory (IRT) is a recent test theory which has been developed in mainly psychology and social science. A ... [more] |
NC2011-187 pp.387-391 |
| PRMU, SP | 2012-02-09 16:30 |
Miyagi | [Poster Presentation]
Recognition for NBI Videoendoscopy Using MRF Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) PRMU2011-207 SP2011-122 |
In this paper, we introduce temporal labeling using Markov Random Fields(MRF) to smooth labels for NBI video endoscopy.F... [more] | PRMU2011-207 SP2011-122 pp.115-116 |
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| PRMU | 2011-11-25 14:15 |
Nagasaki | Face recognition based on hidden conditional random fields using structure of separable lattice HMMs Keisuke Kumaki, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2011-121 |
In image recognition, it needs to deal with geometrical variations of an object, e.g. location, size, and etc. Separable... [more] | PRMU2011-121 pp.131-136 |
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| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Image Restoration and Segmentation Based on Compound Gaussian Markov Random Field Extended as Mixture Model Takayuki Katsuki, Masato Inoue (Waseda Univ.) IBISML2011-75 |
This report proposes an accurate image restoration and segmentation using a new image model. The model is a compound Gau... [more] | IBISML2011-75 pp.223-230 |
| R | 2011-07-29 13:35 |
Hokkaido | A Note on Operational Software Reliability Modeling with Systemability Koichi Tokuno, Shigeru Yamada (Tottori Univ.) R2011-20 |
In this paper, we discuss the stochastic modeling for operational software reliability measurement, assuming that the te... [more] | R2011-20 pp.7-12 |
|
| NC | 2011-07-26 09:55 |
Hyogo | Graduate School of Engineering, Kobe University | Detection of alpha phase modulation caused by visual input Yasushi Naruse (NICT), Ken Takiyama (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN), Hiroaki Umehara (NICT) NC2011-33 |
Ongoing oscillations in electroencephalogram (EEG) and magnetoencephalogram (MEG) have recently gained attention, since ... [more] | NC2011-33 pp.71-74 |
| PRMU | 2011-03-10 11:40 |
Ibaraki | Online Handwritten character recognition by MRF for Lao characters Latsamy Saysourinhong, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agric. and Tech.) PRMU2010-245 |
This paper describes on-line recognition of handwritten Lao characters which include consonants, vowels and tone marks, ... [more] | PRMU2010-245 pp.49-54 |
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| R | 2010-12-17 13:00 |
Tokyo | Integrated Model for Software Performability Measurement Considering Random Performance Degradation and Field-oriented Restoration Koichi Tokuno, Shigeru Yamada (Tottori Univ.) R2010-37 |
This paper constructs the integrated software performability model reflecting the actual field environment. The time-dep... [more] | R2010-37 pp.1-6 |
|
| MBE, NC (Joint) |
2010-11-18 13:30 |
Miyagi | Tohoku University | Loopy Belief Propagation for Sparse Markov Random Fields Kazuyuki Tanaka (Tohoku Univ.) NC2010-52 |
In the present paper, new loopy belief propagations for sparse Markov random fields are proposed. Our schenmes are base... [more] |
NC2010-52 pp.1-5 |
| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Probabilistic Inference by minimizing the TRW Free Energy using CCCP Yu Nishiyama (RIKEN), Xingyao Ye, Alan L. Yuille (UCLA) IBISML2010-66 |
We propose a family of convergent double-loop algorithms which minimize the TRW free energy. These algorithms are based ... [more] | IBISML2010-66 pp.51-58 |
| 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 |
| NC, MBE (Joint) |
2010-03-10 09:00 |
Tokyo | Tamagawa University | Inference of Alpha Rhythm Phase and Amplitude Using Belief Propagation on Markov Random Field Model Yasushi Naruse (NICT), Ken Takiyama (Univ. of Tokyo.), Masato Okada (Univ. of Tokyo/RIKEN), Tsutomu Murata (NICT) NC2009-116 |
The alpha rhythm is a major component of spontaneous electroencephalographic data. We develop a novel method that can es... [more] | NC2009-116 pp.167-172 |
| 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 |
| NC | 2009-10-24 10:40 |
Saga | Saga University | Mean-field theoretical approach to Bayesian estimation of motion velocity vector in successive digital images Yuya Inagaki, Jun-ichi Inoue (Hokkaido Univ.) NC2009-44 |
We examine a mean-field iterative aigorithm to estimate motion velocity vector fields in successive digital images based... [more] | NC2009-44 pp.41-46 |
| NC, MBE (Joint) |
2008-12-20 10:25 |
Aichi | Nagoya Inst. Tech. | Shape from shading based on a probabilistic model including surface orientation and depth fields Yuki Nakatsuji, Toshiyuki Tanaka (Kyoto Univ) NC2008-74 |
In this paper, we propose a new method to solve shape-from-shading problems based on a probabilistic model. The propos... [more] |
NC2008-74 pp.7-12 |
| NC, MBE (Joint) |
2008-03-12 13:30 |
Tokyo | Tamagawa Univ | Image Processing by using the EM algorithm and the belief propagation Kei Inoue, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2007-118 |
Markov random fields in image processing includehyperparameters to estimate from given data. We introduce a method to es... [more] | NC2007-118 pp.37-42 |
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