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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML) (Searched in: 2013)
Search Results: Keywords 'from:2013-09-02 to:2013-09-02'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:00 |
Tottori | Study on Illumination Insensitive Face Detection Based on Normalization Techniques Min Yao, Hiroshi Nagahashi (Tokyo Inst. of Tech.)  PRMU2013-33 IBISML2013-13 |
Face detection has been attracting much academic attention. Illumination problem is one of the most important aspects th... [more] | PRMU2013-33 IBISML2013-13 pp.1-6 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:30 |
Tottori | Study of Recognizing Spontaneous Facial Expressions of a Person who Watches Web News Based on ASM and Bayesian Network Chao Xu, Jun Ohya (Waseda Univ.) PRMU2013-34 IBISML2013-14 |
To achieve a comment system that can automatically estimate emotions of a person who watches web news, this paper propos... [more] | PRMU2013-34 IBISML2013-14 pp.7-12 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 11:00 |
Tottori | Statistical face shape model separating inter-individual variation from intra-individual variation Shinichi Kojima (TCRDL) PRMU2013-35 IBISML2013-15 |
Point Distribution Model is a shape model of Active Appearance Models used in face image processing, that is represente... [more] |
PRMU2013-35 IBISML2013-15 pp.13-18 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 09:30 |
Tottori | Optimization for Robust Support Vector Machine Utilizing Homotopy Approach Shinya Suzumura, Kohei Ogawa, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2013-36 IBISML2013-16 |
In this paper, we propose a novel optimization method for robust SVM that has robustness to outliers. In robust SVM, it ... [more] | PRMU2013-36 IBISML2013-16 pp.19-24 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:00 |
Tottori | A proposal of simple correcting scheme for sample Mahalanobis distances using Delta method Yasuyuki Kobayashi (Teikyo Univ.) PRMU2013-37 IBISML2013-17 |
In statistical machine learning technology, it is difficult to ignore errors between sample Mahalanobis distances estima... [more] | PRMU2013-37 IBISML2013-17 pp.25-30 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:30 |
Tottori | Escort distribution and Expectation Masaru Tanaka (Fukuoka Univ.) PRMU2013-38 IBISML2013-18 |
A new formulation of information geometry is given by extending a translation operation on an affine space of probabilit... [more] | PRMU2013-38 IBISML2013-18 pp.31-38 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 11:00 |
Tottori | Entropy and non-Additivity Masaru Tanaka (Fukuoka Univ.) PRMU2013-39 IBISML2013-19 |
Here we give an entropy through a contraction of a renormalized $tau$-log-likelihood with $tau = 1 - s$ and a negative $... [more] | PRMU2013-39 IBISML2013-19 pp.39-46 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 13:00 |
Tottori | [Invited Talk]
Topics on the Cost in Machine Learning Shotaro Akaho (AIST) PRMU2013-40 IBISML2013-20 |
Most machine learning algorithms minimize some cost functions, therefore the cost is a general target of research. ... [more] |
PRMU2013-40 IBISML2013-20 pp.47-48 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 15:15 |
Tottori | Gaze Point Prediction with Gap Structure Models Ryo Yonetani, Hiroaki Kawashima, Takashi Matsuyama (Kyoto Univ.) PRMU2013-41 IBISML2013-21 |
When we are watching videos, there exist spatiotemporal gaps between salient regions that attract visual attention and a... [more] | PRMU2013-41 IBISML2013-21 pp.57-62 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 17:30 |
Tottori | Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information
-- Object Tracking under Occlusion -- Kourosh Meshgi, Yu-zhe Li, Shigeyuki Oba, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) PRMU2013-42 IBISML2013-22 |
Object tracking has attracted recent attention because of high demands for its everyday-life applications. Handling occl... [more] | PRMU2013-42 IBISML2013-22 pp.85-91 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 17:00 |
Tottori | Single shot high definition image generation method Yuki Yoshikawa, Tomohiko Saito, Kazuhiko Sumi (Aoyamagakuin Univ.) PRMU2013-43 IBISML2013-23 |
We propose a new high resolution three dimensional (3D) measurement system. When we try it to other application such as ... [more] | PRMU2013-43 IBISML2013-23 pp.99-104 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 18:00 |
Tottori | Study of Structure-from-motion Based 3D Reconstruction and Surface Mosaic Mengyao Duan, Rong Xu, Jun Ohya (Waseda Univ.) PRMU2013-44 IBISML2013-24 |
[more] | PRMU2013-44 IBISML2013-24 pp.113-118 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 09:30 |
Tottori | Reducing False Positive Rate for Viola-Jones Method in Hand Detection Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2013-45 IBISML2013-25 |
The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost class... [more] | PRMU2013-45 IBISML2013-25 pp.149-153 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 10:00 |
Tottori | Reusing pre-trained classifiers as feature descriptors for adaptation to general dataset Takashi Bando, Kazuhito Takenaka, Tehrani Hossein, Utsushi Sakai (DENSO) PRMU2013-46 IBISML2013-26 |
Recently, various advanced driver assistance systems have been developed, e.g., collision-warning system that detect ped... [more] | PRMU2013-46 IBISML2013-26 pp.155-160 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 10:30 |
Tottori | A specific object recognition method based on mixtures of probabilistic principal component analyzers Takashi Takahashi (Ryukoku Univ.), Takio Kurita (Hiroshima Univ.) PRMU2013-47 IBISML2013-27 |
We investigate a method of specific object recognition that utilizes image feature representation extracted from the dis... [more] | PRMU2013-47 IBISML2013-27 pp.161-166 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 11:00 |
Tottori | Canonical Contextual Anomaly Detection for Multi-modal Data Chie Kamada, Tatsuya Harada (Univ. of Tokyo) PRMU2013-48 IBISML2013-28 |
In prior studies of anomaly detection, relationships between modalities have not been considered much. In this paper, we... [more] | PRMU2013-48 IBISML2013-28 pp.167-172 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 14:00 |
Tottori | [Tutorial Lecture]
3-D Mapping and Recognition for Rescue Robots Kazunori Ohno (Tohoku Univ.) PRMU2013-49 IBISML2013-29 |
Rescue robots allow rescue staffs to safely search disaster area. During the search, the rescue robots record the enviro... [more] | PRMU2013-49 IBISML2013-29 pp.181-186 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 15:15 |
Tottori | Recognizing pointing and calling in the simulator for train-driver's practice Hiroaki Sakaguchi, Naoya Kimura, Kentaro Hayashi (MITSUBISHI PRECISION) PRMU2013-50 IBISML2013-30 |
We developed the pointing and calling recognition system in the simulator for train-driver's practice. Quantitative eval... [more] | PRMU2013-50 IBISML2013-30 pp.187-193 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 15:45 |
Tottori | Estimation of Ingredients and Cooking Methods by Learning Texts and Images of Recipes Kyoko Sudo, Kazuhiko Murasaki, Jun Shimamura, Yukinobu Taniguchi (NTT) PRMU2013-51 IBISML2013-31 |
(To be available after the conference date) [more] | PRMU2013-51 IBISML2013-31 pp.195-200 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 16:15 |
Tottori | Image annotation from wild using semantic hierarchies Masatoshi Hidaka, Naoyuki Gunji, Tatsuya Harada (Univ. of Tokyo) PRMU2013-52 IBISML2013-32 |
For many-class image annotation system, automatic construction of large-scale dataset is needed. Wild web is regarded as... [more] | PRMU2013-52 IBISML2013-32 pp.201-206 |
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