Membrane proteins are the main undertaker of biomembrane functions and play a vital role
in many biological activities of organisms. Prediction of membrane protein types has a great …

Anomaly detection aims to identify unusual behavior or discriminate abnormal samples by
referring to the normal samples of data. Most exiting anomaly detection approaches train the …

Word embedding models are able to accurately model the semantic content of words. The
process of extracting a set of word embedding vectors from a text document is similar to the …

In sparse representation-based classification, Fisher discrimination dictionary learning
(FDDL) has attracted widespread attention due to its advantages such as fewer parameters …

Dictionary learning has produced state-of-the-art results in various classification tasks.
However, if the training data have a different distribution than the testing data, the learned …

Pengenalan wajah secara otomatis merupakan sebuah kebutuhan yang memiliki peran
penting dalam kehidupan masyarakat saat ini. Pada dasarnya masalah pengenalan wajah …

Sparse representation (SR) has been widely studied and successfully applied to many
areas of computer science in recent years. However, whether sparsity is essential to improve …

In accurate action recognition, discriminative human-region representation as auxiliary
information is critical for fusing multiple visual clues in a video and further improving the …

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 …

In recent years, sparse representation theory has attracted the attention of many researchers
in the signal processing, pattern recognition and computer vision communities. The choice …