图 书 馆开课单位--犹他大学
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11Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplacian Eigenmapse[使用连续一维拉普拉斯特征性映射的鲁棒非线性降维]
Samuel Gerber(犹他大学) Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in t...
热度：41
Samuel Gerber(犹他大学) Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in t...
热度：41
12Non-standard Geometries and Data Analysis[非标准几何和数据分析]
Suresh Venkatasubramanian(犹他大学) Traditional data mining starts with the mapping from entities to points in a Euclidean space. The search for patterns and structure is then framed as ...
热度：31
Suresh Venkatasubramanian(犹他大学) Traditional data mining starts with the mapping from entities to points in a Euclidean space. The search for patterns and structure is then framed as ...
热度：31