Results 1 to 10 of about 336 (69)
Quantitative analysis for image segmentation by granular computing clustering from the view of set
Journal of Algorithms and Computational Technology, 2019 As partition method of set, granular computing clustering is applied to image segmentation evaluated by global consistency error, variation of Information, and Rand index from the view of set.
Huaping Guo, Hongbing Liu
exaly +2 more sources
Fisher Score Fast Multi-Label Feature Selection Algorithm Based on Text Classification [PDF]
Jisuanji gongcheng, 2022 Fisher Score(FS) is a fast and efficient indicator to evaluate feature classification performance.However, the traditional FS indicator can not be directly applied to multi-label learning, nor effectively deal with the error between the class center and ...
WANG Zhengkai, SHEN Dongsheng, WANG Chenxi
doaj +1 more source
Video Tracking Method Using Multi-granularity Correlation Filters [PDF]
Jisuanji gongcheng, 2020 Video tracking is an important direction in research of computer vision.Many tracking algorithms achieve high performance by integrating multiple types of features,but most of them fail to fully exploit the granularity relationship between multiple ...
SHEN Zejun, DING Feifei, YANG Wenyuan
doaj +1 more source
Research on the standardization strategy of granular computing
International Journal of Cognitive Computing in Engineering, 2023 As intelligent systems continue to evolve, problems are becoming increasingly complex. The constant abundance of data puts a higher demand on the value of data utilization.
Donghang Liu +7 more
doaj +1 more source
Research on Granular Conversion Computing in Algebraic Quotient Space [PDF]
Jisuanji kexue yu tansuo, 2022 Granular computing is a problem processing paradigm based on multi-level structure, which has attracted extensive attention of domestic and foreign scholars in recent years.
WEI Zongxuan, WANG Jiayang
doaj +1 more source
A Granular Computing Based Classification Method From Algebraic Granule Structure
IEEE Access, 2021 Classification, as one of the main task of machine learning, corresponds to the core work of granular computing, namely granulation. Most of granular computing models and related classification methods are uniquely classifying by granule features, but ...
Linshu Chen +4 more
doaj +1 more source
International Journal of Crowd Science, 2021 PurposeArtificial intelligence is gradually penetrating into human society. In the network era, the interaction between human and artificial intelligence, even between artificial intelligence, becomes more and more complex.
Jianran Liu, Bing Liang, Wen Ji
doaj +1 more source
Relational representations of algebraic lattices and their applications
Open Mathematics, 2022 In this paper, we define the concepts of strongly regular relation, finitely strongly regular relation, and generalized finitely strongly regular relation, and get the relational representations of strongly algebraic, hyperalgebraic, and quasi ...
Luo Shuzhen, Xu Xiaoquan
doaj +1 more source
Generic Construction of Decentralized Attribute-Based Σ-Protocol and Its Applications
Jisuanji kexue yu tansuo, 2021 Attribute-based cryptography becomes one of the hot topics in cryptography, since it can provide fine-grained access control and good privacy.
YANG Xiaoli, HUANG Zhenjie
doaj +1 more source
Multi-Cue Cascades for Robust Visual Tracking
IEEE Access, 2019 Generic object tracking is a fundamental vision task. Numerous attempts are made to utilize handcrafted features like Hogs, deep convolutional features pretrained independently from other vision tasks, as well as hierarchical features.
Feifei Ding +3 more
doaj +1 more source