Similarity-based classification framework is extensively used to address the problem of multi-label learning. Through this research, we establish the connection between similarity-based classification with many popular state-of-the-art multi-label learning models. In fact, we show that the similarity-...
CONNECTIVITY SIMILARITY BASED GRAPH LEARNING FOR INTERACTIVE MULTI-LABEL IMAGE SEGMENTATIONA system and method of connectivity-based image processing to identify and extract objects in image data. Variations on the method may include iterative local smoothing operations and various algorithmic solutions to ...
Although the attack not always forces the network to predict a particular target label, it can still change the prediction to another label other than the ground truth, which can still significantly degrade the quality of a given deep learning-based system. DM clearly presents the level of this...
UpdatedJan 8, 2021 HTML This code is part of my Ph.D. research. The aim is generate similarity matrices from similarity measures. machine-learningsimilarity-measuresmulti-label-classificationsimilarity-matrices UpdatedMar 22, 2025 R Add a description, image, and links to thesimilarity-matricestopic...
SyMSS: a syntax-based measure for short-text semantic similarity Data Knowl. Eng. (2011) GaoX. et al. Attention driven multi-modal similarity learning Inform. Sci. (2018) ZhangM.L. et al. ML-KNN: A lazy learning approach to multi-label learning Pattern Recognit. (2007) TangL. et al...
Artur Aiguzhinov,Carlos Soares,Ana Paula Serra.A similarity-based adaptation of naive bayes for label ranking:Application to the metalearning problem of algorithm recommendation. Discovery Science . 2010Aiguzhinov, A., Soares, C., Serra, A.P.: A similarity-based adaptation of ...
In this paper a novel coupled attribute similarity learning method is proposed with the basis on the multi-label categorical data (CASonMLCD). The CASonMLCD method not only computes the correlations between different attributes and multi-label sets using information gain, which can be regarded as...
Zou X, Wu S, Zhang N, Bakker EM (2022) Multi-label modality enhanced attention based self-supervised deep cross-modal hashing. Knowl-Based Syst 239:107927 Article Google Scholar Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint...
1. Differently, multi-level based learning methods (Diao, Zhang, Ma, & Lu, 2021; Ji, Chen, & Wang, 2021; Li, Yang, Wang, Song, & Li, 2021; Zhang, Mao, Zhang, & Zhang, 2022) combine global, local, or label semantic information to explore the correlation between vision and ...
2016 Chen et al., 2016 Improve similarity based method for large networks and propose new method of global based similarity score Link prediction in (PPI, NetScience, Grid, INT, Political Blogs, USAir) Quasi-local Node_LP (SRW and LRW) Show moreView article Chapter Optimization-based multilev...