Subspace clustering techniques have shown promise in hyperspectral image segmentation. The fundamental assumption subspace is that the samples belonging to different clusters/segments lie separable subspaces. What if this condition does not hold? We surmise even hold original space, data may be nonlinearly transformed a space where it will into In work, we propose transformation based on tenets...

In this paper, we present a novel discriminative dictionary learning (DDL) method for image classification. The local structural relationship between samples is first built by the Laplacian eigenmaps (LE), and then integrated into basic DDL frame to suppress inter-class ambiguity in feature space. Moreover, order improve ability of dictionary, category label information training formulated obje...

Wider coverage and a better solution to latency reduction in 5G necessitate its combination with multi-access edge computing technology. Decentralized deep learning (DDL), such as federated swarm learning, promising privacy-preserving data processing for millions of smart devices leverages distributed multilayer neural networks within the networking local clients, without disclosing original tr...

It has been claimed that data-driven learning (DDL) many benefits for second language acquisition. However, due to the difficulty of included in corpora and complexity concordancing software, suitability DDL low-level learners questioned. This study investigated appropriateness through direct access a corpus high school lessons compared use graded non-graded corpus. Through parametric testing, ...

With the continuous development of English language teaching (ELT), awareness has been studied as a 
 approach. Vocabulary knowledge is indispensable in all skills, such reading and speaking, listening, writing. It one constituent elements language. This article based on literature review provides lexical variation view awareness, attempts to discuss variability flexibility with focus lexi...

The data-driven learning model is a newer method. It not only provides learners with rich, diverse, and real-language big data, but it also creates an ideal environment for them because of its corpus-based teaching characteristics. This paper will look at how to analyze research in college English translation classes, as well describe the approach. presents problem design, then expands on conce...

Abstract Artificial intelligence (AI) is changing many aspects of education and gradually being introduced to language education. This article reviews the literature examine main trends common findings in relation AI technologies applications for second foreign learning teaching. With special reference computer-assisted (CALL), explores natural processing (NLP), data-driven (DDL), automated wri...