Special Issue on Novel Data-Representation and Classification Techniques
摘要截稿:
全文截稿: 2019-10-31
影响因子: 3.255
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:人工智能 - 3区
Overview
In Pattern Recognition, data representation is very important since this stage is crucial in the success of data classification (supervised or unsupervised). Data-representation also determines the tools that can be used for classification and sometimes new classification tools are specially designed for special data-representations. How to represent the intrinsic structure of data and the development of classification tools for these novel representations becomes urgent, important and challenging.
This special issue aims at capturing the latest advances in novel data-representation and classification techniques from the research community working on Pattern Recognition. Topics of interest include, but are not limited to:
- Visual data representation
- Textual data representation
- Structural data representation
- Sparse representation
- Novel techniques for supervised and unsupervised classification
- Applications in image classification, video processing, bioinformatics, medicine, and data mining