Guest Professor (School of Information and Data Science, Nagasaki University)
Owing to the development of sensor technology, a huge amount of digital data has been acquired in the various fields. Then, effective data analysis methods for elucidating important information from huge data are required. Traditional techniques, e.g. statistical approach are, however, not based on the situation. Pattern recognition due to machine learning is one of techniques for huge data analysis, and it has been progressed since the method shows high performance for massive data like imagery and movies. My research interest is to propose new statistical machine learning techniques for data analysis, and to evaluate them through real data such as remotely sensed imagery and/or genome data.
|Data Science, Machine Learning, Pattern Recognition