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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Detection of Inattentive State Based on Change of Driving Behavior
-- Study on Driving Behavior Model using GGM -- Konomi Takeyasu, Momoyo Ito (Tokushima Univ.), Kazuhito Sato (Akita Pref. Univ.), Shin-ichi Ito, Minoru Fukumi (Tokushima Univ.) |
In recent years traffic fatality accidents caused by accidental driving are increasing. If it is possible to detect an i... [more] | |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields Yuya Takashina, Masato Inoue (Waseda Univ.)  IBISML2017-88 |
Learning the structure of graphical models is important in many fields, e.g., multivariate analysis and anomaly detectio... [more] | IBISML2017-88 pp.383-388 |
| MI | 2013-07-18 10:35 |
Miyagi | Comparison of sparse non-directional graphical models on anatomical landmark distances by the Smoothly Clipped Absolute Deviation (SCAD) and the Graphical Lasso Shouhei Hanaoka (Univ. of Tokyo Hospital), Yoshitaka Masutani (Univ. of Tokyo Hospital/Univ. of Tokyo), Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo Hospital), Kuni Ohtomo (Univ. of Tokyo Hospital/Univ. of Tokyo) MI2013-20 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a multi... [more] | MI2013-20 pp.7-12 |
|
| MI | 2013-01-24 10:30 |
Okinawa | Bunka Tenbusu Kan | Construction of a sparse non-directional graphical model on anatomical landmark distances by the Graphical Lasso
-- Feasibility study for application to automatic landmark detection system -- Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2012-64 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a non-s... [more] | MI2012-64 pp.13-18 |
| MBE, NC (Joint) |
2012-11-17 14:55 |
Miyagi | Tohoku University | Design of probabilistic image inpainting filters using Gaussian graphial models Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71 |
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of ima... [more] | NC2012-71 pp.57-62 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Structure Learning for Anomaly Localization Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2012-36 |
In this paper, we propose a graphical model learning algorithm for an anomaly localization. We introduce a new regulariz... [more] | IBISML2012-36 pp.17-22 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Learning a Graphical Structure with Clusters Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2011-45 |
In this paper, we propose an estimation technique of a graphical model with some unknown clusters. We introduce a new re... [more] | IBISML2011-45 pp.19-24 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Gaussian FoE model with correlations among color components Ryuta Murayama, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) IBISML2011-58 |
Color images consist of some color components such as RGB, YCbCr. They have been often treated independently in usual im... [more] | IBISML2011-58 pp.105-111 |
| IBISML | 2011-03-29 12:00 |
Osaka | Nakanoshima Center, Osaka Univ. | Learning an Invariant Substructure of Multiple Graphical Gaussian Models Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2010-129 |
Dependency structure among variables is closely tied to an underlying data generating process. Therefore, learning a dep... [more] | IBISML2010-129 pp.177-181 |
| NC | 2009-01-20 14:40 |
Hokkaido | Hokkaido Univ. | Which model can properly describe dynamics and smoothness of firing rate? Ken Takiyama (The Univ. of Tokyo), Kentaro Katahira, Masato Okada (The Univ. of Tokyo/RIKEN) NC2008-98 |
We construct the algorithm using belief propagation(BP), which algorithm simultaneously estimates firing rate and calcu... [more] |
NC2008-98 pp.89-94 |
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