Pymanopt: A python toolbox for optimization on manifolds using automatic differentiation
Optimization on manifolds is a class of methods for optimization of an objective function,
subject to constraints which are smooth, in the sense that the set of points which satisfy the …
subject to constraints which are smooth, in the sense that the set of points which satisfy the …
A Hilbert space embedding for distributions
We describe a technique for comparing distributions without the need for density estimation
as an intermediate step. Our approach relies on mapping the distributions into a reproducing …
as an intermediate step. Our approach relies on mapping the distributions into a reproducing …
[图书][B] Digital signal processing with Kernel methods
A realistic and comprehensive review of joint approaches to machine learning and signal
processing algorithms, with application to communications, multimedia, and biomedical …
processing algorithms, with application to communications, multimedia, and biomedical …
Fast kernel-based independent component analysis
Recent approaches to independent component analysis (ICA) have used kernel
independence measures to obtain highly accurate solutions, particularly where classical …
independence measures to obtain highly accurate solutions, particularly where classical …
[PDF][PDF] 一种新的支持向量机混合集成算法
陈涛 - 科学技术与工程, 2012 - stae.com.cn
摘# 要# 针对基于M22NH-/4 和M644-/4 的集成算法不能有效提高强学习器泛化性能的问题融合
M22NH-/4 的样本扰动和快速核独立分量分析的特征扰动以生成若干个体支持向量分类器使 …
M22NH-/4 的样本扰动和快速核独立分量分析的特征扰动以生成若干个体支持向量分类器使 …
An experimental comparison of linear non-Gaussian causal discovery methods and their variants
Y Sogawa, S Shimizu, Y Kawahara… - The 2010 International …, 2010 - ieeexplore.ieee.org
Many multivariate Gaussianity-based techniques for identifying causal networks of observed
variables have been proposed. These methods have several problems such that they …
variables have been proposed. These methods have several problems such that they …
Status Quo, Advances and Futures of Machine Learning in Fault Detection and Diagnosis for Energy: A Review
H Chen, J Feng, A Jin, B Li - … Conference on Clean Energy and Electrical …, 2024 - Springer
Abstract Fault Detection and Diagnosis (FDD) plays a crucial role in maintaining the integrity
and efficient operation of modern industrial systems, from manufacturing sectors to process …
and efficient operation of modern industrial systems, from manufacturing sectors to process …
Independent component analysis via energy-based and kernel-based mutual dependence measures
Z Jin, DS Matteson - arXiv preprint arXiv:1805.06639, 2018 - arxiv.org
We apply both distance-based (Jin and Matteson, 2017) and kernel-based (Pfister et al.,
2016) mutual dependence measures to independent component analysis (ICA), and …
2016) mutual dependence measures to independent component analysis (ICA), and …
[图书][B] Improving non-linear approaches to anomaly detection, class separation, and visualization
TJ Paciencia - 2014 - search.proquest.com
Linear approaches for multivariate data analysis are popular due to their lower complexity,
reduced computational time, and easier interpretation. In many cases, linear approaches …
reduced computational time, and easier interpretation. In many cases, linear approaches …
[PDF][PDF] 基于快速核独立分量分析的图像反光分离研究
刘景波， 万小磊， 金炜东 - 激光与光电子学进展, 2010 - researching.cn
摘要透过玻璃对场景成像, 图像由场景实像和反光虚像线性叠加而成, 直接影响到图像分析处理
和计算机视觉应用等, 可采用盲源分离方法进行反光分离. 图像成像过程中的非线性因素 …
和计算机视觉应用等, 可采用盲源分离方法进行反光分离. 图像成像过程中的非线性因素 …