The multi-view data clustering has attracted much interests among researchers, and the
large-scale multi-view clustering has significant applications and research value. In this …

Learning multi-view data, and especially multi-view data clustering, is a popular area in
computer vision and pattern recognition. The multi-view subspace clustering has achieved a …

In the field of image processing, texture features and color are fundamental visual cue with
complementary roles. They are used in many applications and in a large variety of areas …

Abstract Local Binary Pattern (LBP) is a feature extraction operator with both high texture
discrimination ability and low computational complexity. Many LBP variants have been …

The main challenge of image retrieval systems is to retrieve similar samples in a way that
can be interpreted in a semantic relationship with the user's query image. In recent years …

Abstract The traditional Local Binary Pattern (LBP) employs a 3x3 pixel window and
examines the intensity differences between the center pixel and nearby neighbourhood …

Literature reports several local descriptors where discriminativity is enhanced by updating or
modifying the previous techniques. This work suggests such novel descriptor (in light …

This paper proposes a novel descriptor called Mean-Variance-Median based Local binary
pattern (MVM-LBP). The Median binary pattern (MBP) calculates the difference between …

Adenosis is a benign breast condition whose lesions can mimic breast carcinoma and is
evaluated for malignancy with the Breast Imaging–Reporting and Data System (BI-RADS) …

Literature reports comparative analysis between numerous descriptors (local) in form of their
research article. These studies although achieve good results but the best combination of …