Fusarium head blight in winter wheat ears produces the highly toxic mycotoxin
deoxynivalenol (DON), which is a serious problem affecting human and animal health …

Graph-based embedding methods are very useful for reducing the dimension of high-
dimensional data and for extracting their relevant features. In this paper, we introduce a …

Manifold based feature extraction has been proved to be an effective technique in dealing
with the unsupervised classification tasks. However, most of the existing works cannot …

While being one of the first and most elegant tools for dimensionality reduction, Fisher linear
discriminant analysis (FLDA) is not currently considered among the top methods for feature …

With the rapid development of Internet-of-Things and big data, health assessment of
equipment is receiving more attention in recent years. It is critical to bridge the gap between …

Unsupervised feature selection is a challenging task to gain relevant features for improving
learning performance due to lack of the label information. Traditional unsupervised feature …

One consensus in the machine learning community is that obtaining good representations of
the data is crucial for the classification tasks. But establishing a clear objective for …

Dictionary learning plays an important role in sparse representation based face recognition.
Many dictionary learning algorithms have been successfully applied to face recognition …

Change detection is one of the extensively investigated problems in the field of remote
sensing. Generally, it involves the analysis of multitemporal remote sensing images of the …

Template-matching-based approaches have been developed for many years in the field of
synthetic aperture radar (SAR) automatic target recognition (ATR). However, the …