In this letter, we propose a novel classification strategy called the coupled dictionary
learning for target recognition in synthetic aperture radar (SAR) images. First, we train …

Learning dictionaries from the training data has led to promising results for pattern
classification tasks. Dimensionality reduction is also an important issue for pattern …

Learning good representation for images is always a hot topic in machine learning and
pattern recognition fields. Among the numerous algorithms, dictionary learning is a well …

Security breaches due to misidentification of an individual pose one of the greatest threats
and challenges for today's world. The use of biometrics can be quite promising in minimising …

Recognizing the certain person of interest in cameras of different viewpoints is known as the
task of person re-identification. It has been a challenging job considering the variation in …

Multi-domain learning aims to benefit from simultaneously learning across several different
but related domains. In this chapter, we propose a single framework that unifies multi …

Subspace learning and reconstruction has been widely explored in transfer learning.
However, existing subspace reconstruction neglect class prior such that the learned transfer …

Dictionary learning (DL) is an effective feature learning technique, and has led to interesting
results in many classification tasks. Recently, by combining DL with multiple kernel learning …

Cross-modal recognition and matching with privileged information are important challenging
problems in the field of computer vision. The cross-modal scenario deals with matching …

It is useful and challenging to analyze and select object features of very high resolution
(VHR) remote sensing imagery. The overwhelming majority of existing feature selection …