IEICE Technical Committee

Information and Systems-Image Engineering(Date:2017/11/08)

Presentation

[Date]2017-11-09
[Paper #]IBISML2017-35

[Poster Presentation] Extraction of Distribtion Changes using On-line t-SNE

Daisuke Kaji(Denso), Masahiro Kobayashi(Toyohashi Tech.), Kazuho Watanabe(Toyohashi Tech.),

[Date]2017-11-09
[Paper #]IBISML2017-36

Calculation method for grid-structured markov random field using corner transfer matrix renormalization group

Tomoharu Yoshida(Toyohashi Univ. of Tech.), Kazuho Watanabe(Toyohashi Univ. of Tech.), Kyoji Umemura(Toyohashi Univ. of Tech.),

[Date]2017-11-09
[Paper #]IBISML2017-37

[Poster Presentation] Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning

Naoki Hayashi(TokyoTech), Sumio Watanabe(TokyoTech),

[Date]2017-11-09
[Paper #]IBISML2017-38

[Poster Presentation] Empirical Bayesian Tree

Masashi Sekino(SMN),

[Date]2017-11-09
[Paper #]IBISML2017-39

Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning

Tomoya Sakai(UTokyo/RIKEN), Gang Niu(UTokyo/RIKEN), Masashi Sugiyama(RIKEN/UTokyo),

[Date]2017-11-09
[Paper #]IBISML2017-40

Application of Transfer Learning to Smallscale Data and Its Evaluation Using Open Datasets

Arika Fukushima(Toshiba), Toru Yano(Toshiba), Shuuichiro Imahara(Toshiba), Hideyuki Aisu(Toshiba),

[Date]2017-11-09
[Paper #]IBISML2017-41

[Poster Presentation] Evaluation of Machine Learning Methods for Anomaly Detection Using New Kyoto2006+ Dataset

Hisashi Takahara(UNP),

[Date]2017-11-09
[Paper #]IBISML2017-42

[Poster Presentation] Material search for Li-ion battery electrolytes by exhaustive search with Gaussian Process modeling

Tomofumi Nakayama(Univ. Tokyo), Yasuhiko Igarashi(NIMS), Keitaro Sodeyama(NIMS), Masato Okada(Univ. Tokyo),

[Date]2017-11-09
[Paper #]IBISML2017-43

[Poster Presentation] Post Clustering Inference for Heterogeneous Data

Shigenori Inoue(NIT), Yuta Umezu(NIT), Shoma Tsubota(Nagoya Univ.), Ichiro Takeuchi(NIT/RIKEN/NIMS),

[Date]2017-11-09
[Paper #]IBISML2017-44

[Poster Presentation] Fast Best-first Search for Submodular Function Maximization

Shinsaku Sakaue(NTT), Masakazu Ishihata(Hokkaido Univ.),

[Date]2017-11-09
[Paper #]IBISML2017-72

Robust one dimensional phase unwrapping using Markov random fields

Yasuhisa Nakashima(Univ. Tokyo), Yasuhiko Igarashi(JST), Yasushi Naruse(NICT), Masato Okada(Univ. Tokyo),

[Date]2017-11-09
[Paper #]IBISML2017-45

Regression Method for Noisy Inputs based on Naradaya-Watson Estimator constructed from Noiseless Training Data

Ryo Hanafusa(Kwansei Gakuin Univ.), Takeshi Okadome(Kwansei Gakuin Univ.),

[Date]2017-11-09
[Paper #]IBISML2017-46

Online Optimization Method for Generalized $ell_1$ Regularized Problems

Yoshihiro Nakazato(Tsukuba Univ.), Kazuto Fukuchi(Tsukuba Univ.), Jun Sakuma(Tsukuba Univ./Riken/JST),

[Date]2017-11-09
[Paper #]IBISML2017-47

［ポスター講演］和音系列に対するPCFGのベイズ学習とSplit-Mergeサンプリングを用いたメロディへの和声付け

Hiroaki Tsushima(Kyoto Univ.), Eita Nakamura(Kyoto Univ.), Katsutoshi Itoyama(Kyoto Univ.), Kazuyoshi Yoshii(Kyoto Univ./RIKEN AIP),

[Date]2017-11-09
[Paper #]IBISML2017-48

Hidden Semi-Markov Model Representing State Overlap for Multiple Sequential Data Input

Hiromi Narimatsu(UEC), Hiroyuki Kasai(UEC),

[Date]2017-11-09
[Paper #]IBISML2017-49

Quantum inspired Machine Learning through Entanglement Entropy

Masaru Tanaka(Fukuoka UNiv.),

[Date]2017-11-09
[Paper #]IBISML2017-50

Nonconvex Sparse Optimization with Submodularity

Naoki Marumo(NTT), Tomoharu Iwata(NTT),

[Date]2017-11-09
[Paper #]IBISML2017-51

Regularization of learning prameters in posterior mean estimate approximation in CS-SENSE method

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

[Date]2017-11-09
[Paper #]IBISML2017-52

Consequently Fair Contextual Bandit Learning

Kazuto Fukuchi(Univ. of Tsukuba), Jun Sakuma(Univ. of Tsukuba/JST/RIKEN),

[Date]2017-11-09
[Paper #]IBISML2017-53