Hyperspectral imaging is a trending technique in remote sensing that finds its application in
many different areas, such as agriculture, mapping, target detection, food quality monitoring …

The problem of classification has been widely studied in the data mining, machine learning,
database, and information retrieval communities with applications in a number of diverse …

With the recent explosive growth of e-commerce and online communication, a new genre of
text, short text, has been extensively applied in many areas. So many researches focus on …

Support vector machines (SVMs) have been recognized as one of the most successful
classification methods for many applications including text classification. Even though the …

Discriminant analysis has been used for decades to extract features that preserve class
separability. It is commonly defined as an optimization problem involving covariance …

A generalized discriminant analysis based on a new optimization criterion is presented. The
criterion extends the optimization criteria of the classical Linear Discriminant Analysis (LDA) …

Linear discriminant analysis (LDA) is a well-known method for feature extraction and
dimension reduction. It has been used widely in many applications involving high …

What is an emerging trend? An emerging trend is a topic area that is growing in interest and
utility over time. For example, Extensible Markup Language (XML) emerged as a trend in the …

In this paper an efficient feature extraction method named as locally linear discriminant
embedding (LLDE) is proposed for face recognition. It is well known that a point can be …

An optimization criterion is presented for discriminant analysis. The criterion extends the
optimization criteria of the classical Linear Discriminant Analysis (LDA) through the use of …