IEICE Technical Committee

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

Presentation

［ポスター講演］調とリズムを考慮した階層隠れセミマルコフモデルに基づく歌声の自動採譜

Ryo Nishikimi(Kyoto Univ./RIKEN), Eita Nakamura(Kyoto Univ.), Masataka Goto(AIST), Katsutoshi Itoyama(Kyoto Univ.), Kazuyoshi Yoshii(Kyoto Univ.),

[Date]2017-11-09
[Paper #]IBISML2017-54

Evaluation of KL-divergence between Gaussian process posteriors by finite dimensional normal distributions

Hideaki Ishibashi(Kyutech), Tetsuo Furukawa(Kyutech), Shotaro Akaho(AIST),

[Date]2017-11-09
[Paper #]IBISML2017-55

Clinical Decision Support System based on Co-occurrence Analysis of Disease Names

Ken Yano(NAIST), Eiji Aramaki(NAIST),

[Date]2017-11-09
[Paper #]IBISML2017-56

Efficient modal regression using gradient ascent and descent method

Ryoya Yamasaki(Kyoto Univ.), Toshiyuki Tanaka(Kyoto Univ.),

[Date]2017-11-09
[Paper #]IBISML2017-57

[Poster Presentation] Learning huge Bayesian networks using RAI algorithm based on Bayes factor

Kazuki Natori(UEC), Masaki Uto(UEC), Maomi Ueno(UEC),

[Date]2017-11-09
[Paper #]IBISML2017-58

Bayesian nonparametric model for uncountable factor analysis

Masahiro Nakano(NTT), Daichi Mochihashi(ISM), Tomoko Matsui(ISM), Kunio Kashino(NTT),

[Date]2017-11-09
[Paper #]IBISML2017-59

Fast Computation of Lower Bounds for Privacy Evaluations, Based on Binary Decision Diagrams

Shogo Takeuchi(Univ. of Tokyo), Kosuke Kusano(Univ. of Tsukuba), Jun Sakuma(Univ. of Tsukuba), Koji Tsuda(Univ. of Tokyo),

[Date]2017-11-09
[Paper #]IBISML2017-60

Analysis of Dropout in online learning

Kazuyuki Hara(Nihon Univ.),

[Date]2017-11-10
[Paper #]IBISML2017-61

[Poster Presentation] Binary Classification from Positive-Confidence Data

Takashi Ishida(SMAM/UTokyo/RIKEN), Gang Niu(UTokyo/RIKEN), Masashi Sugiyama(RIKEN/UTokyo),

[Date]2017-11-10
[Paper #]IBISML2017-62

Rotated Image Recognition by Continuous execution of Angle Estimation Using a Feature Map with CNN

Nishiki Katayama(Kanazawa Univ.), Satoshi Yamane(Kanazawa Univ.),

[Date]2017-11-10
[Paper #]IBISML2017-63

Safe Screening for Large Margin Metric Learning

Tomoki Yoshida(NITech), Ichiro Takeuchi(NITech/NIMS/RIKEN), Masayuki Karasuyama(NITech/NIMS/JST),

[Date]2017-11-10
[Paper #]IBISML2017-64

Convolutional Neural Network with Entanglement Entropy

Shu Eguchi(Fukuoka Univ.), Masaru Tanaka(Fukuoka Univ.),

[Date]2017-11-10
[Paper #]IBISML2017-65

[Poster Presentation] Multi-Task Learning with Positive and Unlabeled Data and Its Application to Mental State Prediction

Hirotaka Kaji(Toyota Motor), Hayato Yamaguchi(Toyota Motor), Masashi Sugiyama(RIKEN/UTokyo),

[Date]2017-11-10
[Paper #]IBISML2017-66

Hierarchical Reinforcement Learning Based on Return-Weighted Density Estimation

Takayuki Osa(UTokyo/RIKEN), Masashi Sugiyama(RIKEN/UTokyo),

[Date]2017-11-10
[Paper #]IBISML2017-67

[Poster Presentation] Improvement of learning method with convolutional restricted Boltzmann machine based on PCD

Ryosuke Ishi(Ibaraki Univ.), Reiki Suda(Ibaraki Univ.), Koujin Takeda(Ibaraki Univ.),

[Date]2017-11-10
[Paper #]IBISML2017-68

[Poster Presentation] Bin width optimization of multidimensional histogram on count data

Kensuke Muto(Tokyo Univ.), Hirotaka Sakamoto(Tokyo Univ.), Keisuke Matsuura(Tokyo Univ.), Takahisa Arima(Tokyo Univ.), Masato Okada(Tokyo Univ.),

[Date]2017-11-10
[Paper #]IBISML2017-69

[Poster Presentation] Nonlinear parametric model based on power law for tsunami height prediction

Masashi Yoshikawa(UT), Yasuhiko Igarashi(JST), Shin Murata(UT), Toshitaka Baba(TU), Takane Hori(JAMSTEC), Masato Okada(UT),

[Date]2017-11-10
[Paper #]IBISML2017-70

[Poster Presentation] Selective Inference for Change Point Detection in Multidimensional Sequence

Yuta Umezu(Nitech), Ichiro Takeuchi(Nitech/RIKEN/NIMS),

[Date]2017-11-10
[Paper #]IBISML2017-71

Compressed Sensing CT image reconstruction using Bayesian Optimization for mixing multiple image priors

Tomonori Suga(Waseda Univ.), Masato Inoue(Waseda Univ.),

[Date]2017-11-10
[Paper #]IBISML2017-73

[Poster Presentation] Correcting selection bias in active learning based on selective inference framework

Yu Inatsu(RIKEN), Ichiro Takeuchi(Nitech/RIKEN/NIMS),

[Date]2017-11-10
[Paper #]IBISML2017-74