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Stable Estimation of a Covariance Matrix Guided by Nuclear Norm Penalties
Covariance estimation Regularization Condition number Canonical correlation analysis Discriminant analysis Clustering
2013/6/14
Estimation of covariance matrices or their inverses plays a central role in many statistical methods. For these methods to work reliably, estimated matrices must not only be invertible but also well-c...
Semiparametric Latent Variable Models for Guided Representation
Variable Models Semiparametric Latent Guided
2011/3/18
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for learning features re...
Modelling and analysis of an Integrated Automated Guided Vehicle System using CPN and RSM
automated guided vehicle system flexible manufacturing system guide path configurations
2018/3/7
The objective of this study is to analyse an integrated Automated Guided Vehicle System (AGVS)
which is embedded in a pull type multi-product, multi-stage, multi-line Flexible Manufacturing System
(...