Results 31 to 40 of about 14,028 (258)
Learning idempotent representation for subspace clustering
CoRR, 2022 The critical point for the successes of spectral-type subspace clustering algorithms is to seek reconstruction coefficient matrices which can faithfully reveal the subspace structures of data sets. An ideal reconstruction coefficient matrix should have two properties: 1) it is block diagonal with each block indicating a subspace; 2) each block is fully
Lai Wei 0001 +3 more
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Projection subspace clustering
Journal of Algorithms & Computational Technology, 2017 Gene expression data is a kind of high dimension and small sample size data. The clustering accuracy of conventional clustering techniques is lower on gene expression data due to its high dimension.
Xiaoyun Chen, Mengzhen Liao, Xianbao Ye
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Low-rank sparse subspace clustering with a clean dictionary
Journal of Algorithms & Computational Technology, 2021 Low-Rank Representation (LRR) and Sparse Subspace Clustering (SSC) are considered as the hot topics of subspace clustering algorithms. SSC induces the sparsity through minimizing the l 1 -norm of the data matrix while LRR promotes a low-rank structure ...
Cong-Zhe You, Zhen-Qiu Shu, Hong-Hui Fan
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Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns
IEEE Access, 2023 In this paper, we propose a new framework for classifying and visualizing malware files using subspace-based methods. The rise of advanced malware poses a significant threat to internet security, increasing the pressure on traditional cybersecurity ...
Djafer Yahia M Benchadi +2 more
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Multiview Representation Learning for a Union of Subspaces
CoRR, 2019 Canonical correlation analysis (CCA) is a popular technique for learning representations that are maximally correlated across multiple views in data. In this paper, we extend the CCA based framework for learning a multiview mixture model. We show that the proposed model and a set of simple heuristics yield improvements over standard CCA, as measured in
Nils Holzenberger, Raman Arora
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Low-Complexity Geometry-Based MIMO Channel Simulation
EURASIP Journal on Advances in Signal Processing, 2007 The simulation of electromagnetic wave propagation in time-variant wideband multiple-input multiple-output mobile radio channels using a geometry-based channel model (GCM) is computationally expensive.
Christoph W. Ueberhuber +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Due to the physical boundaries, fusing low spatial resolution hyperspectral (LrHSI) with high spatial resolution multispectral (HrMSI) images is a hot and promising area for obtaining hyperspectral that have high spatial-spectral resolution images (HrHSI)
Abdolraheem Khader +2 more
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Ordered Subspace Clustering for Complex Non-Rigid Motion by 3D Reconstruction
Applied Sciences, 2019 As a fundamental and challenging problem, non-rigid structure-from-motion (NRSfM) has attracted a large amount of research interest. It is worth mentioning that NRSfM has been applied to dynamic scene understanding and motion segmentation.
Weinan Du +4 more
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PLoS ONE, 2019 Feature subspace learning plays a significant role in pattern recognition, and many efforts have been made to generate increasingly discriminative learning models.
Ao Li +6 more
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Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source