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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 48 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2013-11-07
15:20
Hiroshima   Image Segmentation for NBI Endoscopy Image
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) MI2013-53
In this paper, we propose a texture image segmentation method by using SVM posterior probabilities with a Markov Random ... [more] MI2013-53
pp.39-43
PRMU 2013-03-15
11:15
Tokyo   Recognition of Block World from Monocular Single Image Considering Spatial Relationship between Blocks
Daichi Tanii, Hotaka Takizawa (Univ. of Tsukuba) PRMU2012-213
In this report, we propose a method of recognizing block scenes from monocular images. Block-like objects are represente... [more] PRMU2012-213
pp.199-204
PRMU 2013-03-15
14:45
Tokyo   Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word
Bilan Zhu (Tokyo Univ. of Agriculture and Tech.), Arti Shivram, Srirangaraj Setlur, Venu Govindaraju (Univ. at Buffalo), Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2012-216
This paper describes an online handwritten English cursive word recognition method using a segmentation-free Markov rand... [more] PRMU2012-216
pp.213-218
NC, MBE
(Joint)
2012-12-12
15:40
Aichi Toyohashi University of Technology Distribution estimation of hyperparameters in Markov random field model
Yoshinori Ohno, Kenji Nagata (Univ. Tokyo), Hayaru Shouno (UEC), Masato Okada (Univ. Tokyo/RIKEN) NC2012-86
Recent advances in measurement techniques allow us to obtain a large quantity of imaging data in various natural science... [more] NC2012-86
pp.55-60
IBISML 2012-11-07
15:30
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Bayesian image super-resolution of large image with a compound MRF and estimating registration parameters
Toshiki Kinoshita, Seiji Miyoshi (Kansai Univ.) IBISML2012-35
Super-resolution is a technique to estimate a higher resolution image from low-resolution images. In this manuscript, we... [more] IBISML2012-35
pp.9-16
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
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
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
IE, ITE-ME, ITE-CE [detail] 2011-07-26
10:50
Osaka   A study on suppression of depth estimation error for free-view point image synthesis
Hitoshi Niigaki, Megumi Isogai, Hajime Noto, Harumi Kawamura, Norihiko Matsuura (NTT) IE2011-47
In free-viewpoint image synthesis, depth estimation error causes artifacts and quality loss in the synthesized images. ... [more] IE2011-47
pp.55-60
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
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
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
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Advanced Susceptibility Propagation
Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) IBISML2010-67
Inferences in Markov random fields are ones of the most important problems in information science.
Susceptibility prop... [more]
IBISML2010-67
pp.59-63
 Results 21 - 40 of 48 [Previous]  /  [Next]  
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