This paper proposes a multi-neural network classification based on fisher transformation. The new method improves HDR [1] (Hierarchical discriminate regression) method proposed in 2000, which can...doi:10.1007/11427445_3Dongyue ChenFudan UniversityXiaodan Lu...
Neural activity exhibits complex dynamics related to various brain functions, internal states and behaviors. Understanding how neural dynamics explain specific measured behaviors requires dissociating behaviorally relevant and irrelevant dynamics, which
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...
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) ...
(2002). This is useful if we want to do CMLLR adaptation where the amounts of data to be adapted on are small. Note that the basis representation of (12) along with our novel optimization method may also be employed with a conventionally structured system; we will describe this in a ...
• We generalize the method to online clustering such that we can handle arbitrarily large datasets and streaming datasets effectively. • We analyze the feasibility of using deep neural net- work to convert distance-based clustering and sub- space clustering. Numerical results on many benchmark...
A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation Neurocomputing, Volume 224, 2017, pp. 195-203 Xiaojie Li,…, Xin Yu Unsupervised robust discriminative manifold embedding with self-expressiveness Neural Networks, Volume 113, 2019, pp. 102-...
This paper introduces a novel subspacehybrid samplingensemble (SHSE) method based on feature subspace construction, hybrid sampling, andensemble learningfor building high-performance SDNP models. Method: Specifically, we first construct a series of feature subspace to ensure the diversity ofbaselearners...
Moreover, we derive second-order coding vectors to model feature statistics based on information geometry [15], which further improves the performance of the proposed method. The dictionary of LLC is visually compared with that of LASC in Fig. 1(b) (see Section 3 for the description of ...
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 ...