초록 : Dimensionality reduction represents the process of generating a low dimensional representation of high dimensional data. In this talk, I explain what dimensionality reduction is and shortly mention formation control. After that, I will introduce a nonlinear dynamical system designed for dimensionality reduction. I briefly discuss mathematical properties of the model and demonstrate numerical experiments on both synthetic and real datasets.
일시 : 2024년 05월 31일(금) 오후 4시~5시
장소 : 아산이학관 526호(권택연 세미나실)
연사 : 정윤모 교수님 (성균관대학교)
제목 : Formation-Controlled Dimensionality Reduction
초록 : Dimensionality reduction represents the process of generating a low dimensional representation of high dimensional data. In this talk, I explain what dimensionality reduction is and shortly mention formation control. After that, I will introduce a nonlinear dynamical system designed for dimensionality reduction. I briefly discuss mathematical properties of the model and demonstrate numerical experiments on both synthetic and real datasets.