Cardiac Arrhythmia Detection and Classification Based on Subspace Approach and Neural NetworksArrhythmia detection, heart beat classification, multi-features, multivariate statistical projection and neural networkThis study presents a multi-stage system for reliable heart rhythm monitoring and diagnosis. It is...
In this paper, several new applications for subspace methods are introduced, including: (1) subspace method used for overcoming generalization/overfitting problem for applications such as face recognition, (2) multiple subspaces constructed from the original subspace to accommodate the inputs distorted by...
The proposed SQI-DOANet may be used as a new deep learning method for DOA estimation. The ... R Yu,Z Zhou,M Xu,... - IOP Publishing Ltd 被引量: 0发表: 2024年 Distributed source DOA estimation based on deep learning networks With space electromagnetic environments becoming increasingly ...
In this paper, we introduce elements of probabilistic model that is suitable for modeling of learning algorithms in biologically plausible artificial neural networks framework. Model is based on two of the main concepts in quantum physics - a density matrix and the Born rule. As an example, we ...
We compare the proposed method in terms of denoising quality and speed through an application to color image and hyperspectral image denoising. 展开 关键词: fixed point algorithm Tensor filtering subspace-based method DOI: 10.1109/ICIP.2009.5414048 被引量: 1 ...
When agents cannot be trained with abundant data, agents may need to operate on real world environments while trained on simulated data, and suffer from domain shift. This paper proposes an effective and robust unsupervised domain adaptation (UDA) method that can resolve these situations. In the ...
we propose a robust semi-supervised subspace clustering method based on non-negative LRR (NNLRR) to address these problems. By combining the LRR framework and the Gaussian fields and harmonic functions method in a single optimization problem, the supervision information is explicitly incorporated to ...
A Novel Subspace Clustering Method for Dictionary Design In: Proc. International Conference on Independent Component Analysis and Signal Separation. pp. 34 - 41.B. Vikrham Gowreesunker and Ahmed H. Tewfik, "A novel subspace clustering method for dictionary design," in Independent Component ... ...
RSMRandom Subspace Method RSMRear Shock Mount(vehicle part; various company) RSMReconstituted Skim Milk RSMRegional Spectral Model RSMRetail Sales Merchandiser(retail job title) RSMRelaxation and Stress Management RSMReligious Sister of Mercy RSMRemote Status Monitor(various companies) ...
In this paper, we therefore propose Neural Random Subspace (NRS), a novel deep learning based random subspace method. In contrast to previous forest methods, NRS enjoys the benefits of end-to-end, data-driven representation learning, as well as pervasive support from deep learning software and ...