Masato Inoue
Official Title
Professor
Department of Electrical Engineering and Bioscience
Faculty of Science and Engineering
Research Fields
Probabilistic Information Processing, Bioinformatics
Research
Research on probabilistic information processing
Our key research focus is on finding ways to extract as much useful information as possible from any given data. To provide rigorous justification for our methodologies, we seek a formal probabilistic information processing approach. Specifically, we are developing theories about statistical inference, genome analysis, survival analysis, sound and image processing, machine learning, model selection, and related topics. We hope to contribute to our society by developing easy and effective methodologies of utilizing huge data which become available by the development of sensors and networks.
Selected publications
1. 宇山慧佑,井上真郷
３次元特徴量のスパース表現を用いた点群リアルタイムトラッキング
情報処理学会 第205回コンピュータビジョンとイメージメディア研究会,2017/01/19
2. 笠原勇布,井上真郷,富樫かおり
ニューラルネットを用いたスタッキングによるMR画像再構成
医用画像研究会,2017/01/18
3. 園田祥平, 笠原勇布, 井上真郷
1次元畳み込みニューラルネットワークによる特徴抽出を用いた話者認識法
音声研究会(SP),2016/12/20
4. Takayuki Katsuki, Masato Inoue
Bayesian Regression Selecting Valuable Subset from Mixed Bag Training Data
23rd International Conference on Pattern Recognition (ICPR 2016),2016/12/07
5. 松尾篤樹,大田垣徹,井上真郷
交換Monte Carlo法を用いた規格化定数近似による自然画像事前分布の性能比較
第19回情報論的学習理論ワークショップ (IBIS2016),2016/11/17