research
∙
04/21/2023
Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method
Human cognition has a “large-scale first” cognitive mechanism, therefore...
share
research
∙
03/18/2023
Granular-ball Optimization Algorithm
The existing intelligent optimization algorithms are designed based on t...
research
∙
03/07/2023
Research on Efficient Fuzzy Clustering Method Based on Local Fuzzy Granular balls
In recent years, the problem of fuzzy clustering has been widely concern...
research
∙
03/02/2023
GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing
Most of the existing clustering methods are based on a single granularit...
research
∙
12/30/2022
A novel cluster internal evaluation index based on hyper-balls
It is crucial to evaluate the quality and determine the optimal number o...
research
∙
10/21/2022
Fuzzy Granular-Ball Computing Framework and Its Implementation in SVM
Most existing fuzzy computing methods use points as input, which is the ...
research
∙
10/06/2022
GBSVM: Granular-ball Support Vector Machine
GBSVM (Granular-ball Support Vector Machine) is an important attempt to ...
research
∙
03/17/2022
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning
Edge detection, a basic task in the field of computer vision, is an impo...
research
∙
01/13/2022
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the proble...
research
∙
01/12/2022
An Efficient and Adaptive Granular-ball Generation Method in Classification Problem
Granular-ball computing is an efficient, robust, and scalable learning m...
research
∙
01/10/2022
GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set
Pawlak rough set and neighborhood rough set are the two most common roug...
research
∙
12/29/2021
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation
This paper present a strong data mining method based on rough set, which...
research
∙
10/31/2020
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection
In this paper, we propose and prove the theorem regarding the stability ...
research
∙
05/02/2020