Multiple Flat Projections for Cross-Manifold Clustering
نویسندگان
چکیده
منابع مشابه
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in R belonging to an unknown K-dimensional Euclidean manifold, the intrinsic dimension (ID) of the sample set can be estimated to high accuracy. Second, we rigorously prove that using only this set of random projections, we can ...
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Deming Zhai12 [email protected] Bo Li12 [email protected] Hong Chang23 [email protected] Shiguang Shan23 [email protected] Xilin Chen23 [email protected] Wen Gao14 [email protected] 1 School of Computer Science and Technology, Harbin Institute of Technology, China 2 Digital Media Research Center, Institute of Computing Technology, CAS, China 3 Key Laboratory of Intelligent Information Processing, Chinese ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Cybernetics
سال: 2021
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tcyb.2021.3050487