Results 211 to 220 of about 6,084,560 (257)
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2009 First International Conference on Information Science and Engineering, 2009
Most manifold learning based methods preserve the original neighbor relationships to pursue the discriminating power. Thus, structure information of data distribution might be neglected and destroyed in low-dimensional space in a sense. In this paper, a novel supervised method, called Locality Preserving Embedding (LPE), is proposed to feature ...
ZhiHui Lai, MingHua Wan, Zhong Jin
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Most manifold learning based methods preserve the original neighbor relationships to pursue the discriminating power. Thus, structure information of data distribution might be neglected and destroyed in low-dimensional space in a sense. In this paper, a novel supervised method, called Locality Preserving Embedding (LPE), is proposed to feature ...
ZhiHui Lai, MingHua Wan, Zhong Jin
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Local Structure Preservation for Nonlinear Clustering
Neural Processing Letters, 2020In this paper, we propose a new nonlinear clustering method to preserve local structure of the features. Specifically, our method applies the gaussian kernel function to achieve high dimensional projection so as to make the original data linearly separable.
Linjun Chen +4 more
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Pattern Recognition, 2018
We present a dual-feature based point set registration method with global-local structural preservation. A finite mixture model which is able to deal with two features is first constructed.
Su Zhang +4 more
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We present a dual-feature based point set registration method with global-local structural preservation. A finite mixture model which is able to deal with two features is first constructed.
Su Zhang +4 more
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Vegetos- An International Journal of Plant Research, 2021
B. Ikhajiagbe +3 more
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B. Ikhajiagbe +3 more
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Low-Light Enhancement Method Based on a Retinex Model for Structure Preservation
IEEE transactions on multimediaEnhancing low-light image visibility is a critical task in computer vision since it helps to improve input for high-level algorithms. High-quality images typically have clear structural information.
Mingliang Zhou +5 more
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Journal of Electronic Imaging, 2012
The projection axes produced by conventional locality preserving projection (LPP) are not orthogonal though many dimension reduction methods favor the use of orthogonal projection axes. Orthogonal LPP (OLPP) has been found to perform well in document indexing but suffers from a much higher computational complexity than conventional LPP.
Yong Xu 0001 +2 more
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The projection axes produced by conventional locality preserving projection (LPP) are not orthogonal though many dimension reduction methods favor the use of orthogonal projection axes. Orthogonal LPP (OLPP) has been found to perform well in document indexing but suffers from a much higher computational complexity than conventional LPP.
Yong Xu 0001 +2 more
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One Size Fits None: Local Context and Planning for the Preservation of Affordable Housing
Housing Policy Debate, 2018Affordable housing stock has diminished as communities face often-conflicting contexts of rising costs and rapid gentrification, and deteriorating housing quality and challenging neighborhood conditions.
Kathryn L. Howell +2 more
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Graph-optimized locality preserving projections
Pattern Recognition, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Limei Zhang, Lishan Qiao, Songcan Chen
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Multiview Uncorrelated Locality Preserving Projection
IEEE Transactions on Neural Networks and Learning Systems, 2020Canonical Correlation Analysis (CCA) is a popular multiview dimension reduction method, which aims to maximize the correlation between two views to find the common subspace shared by these two views. However, it can only deal with two-view data, while the number of views frequently exceeds two in many real applications.
Jun Yin 0003, Shiliang Sun
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IEEE Transactions on Industrial Informatics
With increasing deployment of distributed energy resources, the energy market which aims for local generation and load profile redistribution is facing the challenge to accommodate various types of participants.
Jiehui Zheng +4 more
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With increasing deployment of distributed energy resources, the energy market which aims for local generation and load profile redistribution is facing the challenge to accommodate various types of participants.
Jiehui Zheng +4 more
semanticscholar +1 more source