Collaborative representation-based (CR) methods have become prevalent for pattern
classification tasks, achieving formidable performance. Theoretically, we expect the learned …

The fuzzy and indistinguishable data affected by complex and variable factors lead to the
inferior recognition performance, which is hard to avoid in data acquisition. Subspace …

Discriminative correlation filters (DCFs) have shown promising tracking performance in
recent years thanks to the powerful representation ability of deep features. However, a large …

Craniomaxillofacial defects caused by congenital or acquired reasons seriously affect
patients' physical and mental health. How to accurately and objectively repair the …

Accurate class distribution estimation is expected to solve the problem of the poor
generalization ability that exists in few-shot learning models due to data shortages …

Recently, the learning based methods have been well exploited to hallucinate grayscale
face images. When facing color images, however, the previous approaches either suffering …

Text event mining, as an indispensable method of text mining processing, has attracted the
extensive attention of researchers. A modeling method for knowledge graph of events based …

How to represent and classify a testing sample for the representation-based classification
(RBC) plays an important role in the filed of pattern recognition. As a typical kind of the …

In today's information era, collaborative filtering algorithms are widely used and their distinct
knowledge discovery techniques can effectively address numerous issues. However …

Many face recognition approaches are based on collaborative representation (CR). CR
based method represents a test sample using training samples of all classes. To produce a …