Results 61 to 70 of about 49,736 (243)
Noisy Subspace Clustering via Thresholding
, 2013 We consider the problem of clustering noisy high-dimensional data points into a union of low-dimensional subspaces and a set of outliers. The number of subspaces, their dimensions, and their orientations are unknown.
Bölcskei, Helmut, Heckel, Reinhard
core +1 more source
Exciton Radiative Lifetimes in Hexagonal Diamond Ge and SixGe1–x Alloys
Advanced Optical Materials, EarlyView.Strong room‐temperature photoluminescence reported in hexagonal Ge conflicts with theory predicting a nearly dark band edge. First‐principles calculations of excitonic radiative lifetimes fill a key gap in this debate, showing that pristine hexagonal Ge remains intrinsically weakly emissive, while Si alloying only modestly shortens the lifetime and ...
Michele Re Fiorentin +2 more
wiley +1 more source
Tongxin xuebao, 2021 Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by ...
Ao LI +5 more
doaj +2 more sources
Optimized clustering method for spectral reflectance recovery
Frontiers in Psychology, 2022 An optimized method based on dynamic partitional clustering was proposed for the recovery of spectral reflectance from camera response values. The proposed method produced dynamic clustering subspaces using a combination of dynamic and static clustering,
Yifan Xiong +3 more
doaj +1 more source
Robust Subspace Clustering via Smoothed Rank Approximation
, 2015 Matrix rank minimizing subject to affine constraints arises in many application areas, ranging from signal processing to machine learning. Nuclear norm is a convex relaxation for this problem which can recover the rank exactly under some restricted and ...
Cheng, Qiang, Kang, Zhao, Peng, Chong
core +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
Advanced Science, EarlyView.A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
A Multi-View Co-Training Clustering Algorithm Based on Global and Local Structure Preserving
IEEE Access, 2021 Multi-view clustering which integrates the complementary information from different views for better clustering, is a fundamental and important topic in machine learning.
Weiling Cai, Honghan Zhou, Le Xu
doaj +1 more source
Advanced Science, EarlyView.An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Advanced Science, EarlyView.A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li +3 more
wiley +1 more source
Angewandte Chemie, EarlyView.Pareto optimal compositions of alloy catalyst for oxygen reduction reaction are uncovered through multi‐objective Bayesian optimization of activity, stability, and material cost in an eight‐element high‐entropy alloy composition space. The substantial Pareto front obtained is compared to experimental literature and analyzed to elucidate the roles and ...
Mads K. Plenge +4 more
wiley +2 more sources