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Article
Spline estimation of functional principal components via manifold conjugate gradient algorithm
Functional principal component analysis has become the most important dimension reduction technique in functional data analysis. Based on B-spline approximation, functional principal components (FPCs) can be e...
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Chapter and Conference Paper
Efficient Supervised Hashing via Exploring Local and Inner Data Structure
Recent years have witnessed the promising capacity of hashing techniques in tackling nearest neighbor search because of the high efficiency in storage and retrieval. Data-independent approaches (e.g., Locality...