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Yasuo Matsuyama (born March 23, 1947) is a researcher in machine learning and human-aware information processing. He is a professor of Waseda University in the Department of Computer Science and Engineering where he teaches and studies machine learning, signal processing and computing methodologies with their applications to multimedia processing,〔 〕〔 〕 brain information processing, robotics〔 〕 and bioinformatics. Human-aware information processing is his target. Matsuyama is known for the founder of the α-expectation-maximization algorithm〔 〕 which contains the expectation-maximization algorithm as its subset. The α-hidden Markov model estimation algorithm (extended Baum-Welch algorithm)〔 〕 is also his invention. He is a co-inventor of the RapidICA (Rapid Independent Component Analysis).〔 〕 His early contributions include stochastic modeling of neural spike trains〔 〕〔 〕 and signal processing algorithms for data compression systems.〔 〕〔 〕〔 〕 ==Early life and education== Matsuyama graduated from Waseda University in Tokyo, obtaining his B. Engineering in Electrical Engineering in 1969, and his M. Engineering in 1971. In 1974 he received Dr. Engineering on “Stochastic modeling of neurons(advisors; Jun'ichi Takagi, Kageo Akizuki, and Katsuhiko Shirai).” Then, he got the Japan-US Exchange Fellowship. In 1978, he received his Ph.D. in Electrical Engineering at Stanford University on “Process distortion measures and signal processing (advisor; Robert M. Gray).” 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Yasuo Matsuyama」の詳細全文を読む スポンサード リンク
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