Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2017/09/15)

Presentation
Quantum-Inspired Regression Forest

Zeke Xie(UTokyo),  Issei Sato(UTokyo),  

[Date]2017-09-15
[Paper #]PRMU2017-40,IBISML2017-12
Prototyping of a Computer Automated and Assisted Marking System for Handwritten Math Answers employing Online Handwriting Recognition and Clustering

Shinsuke Sasaki(TUAT),  Liang Xiuyu(TUAT),  Masaki Nakagawa(TUAT),  

[Date]2017-09-15
[Paper #]PRMU2017-50,IBISML2017-22
Text-Independent Writer Identification using Convolutional Neural Networks

Cuong Tuan Nguyen(Tokyo Univ. of Agri. and Tech.),  Takeya Ino(Tokyo Univ. of Agri. and Tech.),  Hung Tuan Nguyen(Tokyo Univ. of Agri. and Tech.),  Masaki Nakagawa(Tokyo Univ. of Agri. and Tech.),  

[Date]2017-09-15
[Paper #]PRMU2017-54,IBISML2017-26
Proposal of a method to detect damaged lane markings based on label propagation

Yasunari Kishimoto(NTT),  Yasuhiro Iida(NTT),  Sotetsu Iwamura(NTT),  Makoto Kawano(Keio Univ.),  Takuro Yonezawa(Keio Univ.),  Jin Nakazawa(Keio Univ.),  Hideyuki Tokuda(Keio Univ.),  

[Date]2017-09-15
[Paper #]PRMU2017-51,IBISML2017-23
Face Image Generation System Using Attribute information with DCGANs

Yurika Sagawa(Keio Univ.),  Masafumi Hagiwara(Keio Univ.),  

[Date]2017-09-15
[Paper #]PRMU2017-52,IBISML2017-24
On Evaluation Function for Feature Space Considered Robustness to Individual Difference of Human Activities

Masaya Mori(NITTC),  Takuma Akiduki(TUT),  Hirotaka Takahashi(NUT),  Yuto Omae(NITTC),  

[Date]2017-09-15
[Paper #]PRMU2017-39,IBISML2017-11
スナップショットアンサンブルを用いたDNNに対する蒸留手法の提案

Masaki Yano(Univ. Tsukuba/AIST),  Masaki Onishi(AIST),  

[Date]2017-09-15
[Paper #]PRMU2017-46,IBISML2017-18
Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion

Naoki Hayashi(Tokyo Tech),  Fumito Nakamura(Bosch),  

[Date]2017-09-15
[Paper #]PRMU2017-41,IBISML2017-13
Alternating Circulant Random Features for Semigroup Kernels

Yusuke Mukuta(UTokyo),  Yoshitaka Ushiku(UTokyo),  Tatsuya Harada(UTokyo),  

[Date]2017-09-15
[Paper #]PRMU2017-42,IBISML2017-14
大規模一般動画からの弱教師付き行動検出のためのMultiple Instance学習

Atsushi Kanehira(Tokyo Univ.),  Yoshitaka Ushiku(Tokyo Univ.),  Tatsuya Harada(Tokyo Univ.),  

[Date]2017-09-15
[Paper #]PRMU2017-43,IBISML2017-15
Stabilization of Classification Performance by AdaBoost with Parallel-Adjustment using Error-Correcting Output Codes

Shota Utsumi(Univ. of Tsukuba),  Keisuke Kameyama(Univ. of Tsukuba),  

[Date]2017-09-15
[Paper #]PRMU2017-44,IBISML2017-16
[ショートペーパー]正則化による深層学習の重み量子化手法の検討

Yu Oya(NTT),  Yasutoshi Ida(NTT),  Yasuhiro Fujiwara(NTT),  Sotetsu Iwamura(NTT),  

[Date]2017-09-15
[Paper #]PRMU2017-45,IBISML2017-17
[ショートペーパー]Johnson分布に基づくニューラルネットワーク

Hideaki Hayashi(Kyushu Univ.),  Seiichi Uchida(Kyushu Univ.),  Toshio Tsuji(Hiroshima Univ.),  

[Date]2017-09-15
[Paper #]PRMU2017-55,IBISML2017-27
Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification

Yutaro Shigeto(CIT),  Masashi Shimbo(NAIST),  Yuji Matsumoto(NAIST),  

[Date]2017-09-15
[Paper #]PRMU2017-53,IBISML2017-25
On MDL Learning of Gaussian Mixture Modlels

Kohei Miyamoto(Kyushu Univ.),  Masanori Kawakita(Kyushu Univ.),  Jun'ichi Takeuchi(Kyushu Univ.),  

[Date]2017-09-15
[Paper #]PRMU2017-47,IBISML2017-19
Fast and General-Purpose Bayesian Optimization using Tree-Based Model with Gaussian Process

Hiroo Iwanaga(Univ. of Tokyo/NTT DATA MSI),  Yukio Ohsawa(Univ. of Tokyo),  

[Date]2017-09-15
[Paper #]PRMU2017-48,IBISML2017-20
Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE

Ken Harada(Waseda Univ.),  Masato Inoue(Waseda Univ.),  Kaori Togashi(Kyoto Univ.),  

[Date]2017-09-15
[Paper #]PRMU2017-49,IBISML2017-21
[Invited Talk] Transportation aspect of deep neural network

Sho Sonoda(Waseda Univ.),  

[Date]2017-09-16
[Paper #]PRMU2017-60,IBISML2017-32
[Invited Talk] Recent Advances on Positive-Unlabeled (PU) Learning

Gang Niu(UTokyo),  

[Date]2017-09-16
[Paper #]
Time Series Classification based on Image Encoding Considering Anisotropy

Shinya Iwamuro(TUT),  Masaki Aono(TUT),  

[Date]2017-09-16
[Paper #]PRMU2017-56,IBISML2017-28
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