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Multimodal Prediction based on Graph Representations
[article]
2020
arXiv
pre-print
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This paper proposes a learning model, based on rank-fusion graphs, for general applicability in multimodal prediction tasks, such as multimodal regression and image classification. ...
The solution is based on the encoding of multiple ranks for a query (or test sample), defined according to different criteria, into a graph. ...
Conclusions This paper presented an unsupervised graph-based rank-fusion approach as a representation model for multimodal prediction tasks. ...
arXiv:1912.10314v4
fatcat:jyj62akpabhj3jjkyl4ovn5dpy
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020 2439-2451 Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction. Mu, J., +, TIP 2020 5374-5385 Graph-Based Transforms for Video Coding. ...
., +, TIP 2020 419-432
Graph-Based Non-Convex Low-Rank Regularization for Image Compres-
sion Artifact Reduction. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
RankSum An unsupervised extractive text summarization based on rank fusion
[article]
2024
arXiv
pre-print
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A graph-based strategy is applied to find the significant keywords and related sentence rankings in the document. ...
In this paper, we propose Ranksum, an approach for extractive text summarization of single documents based on the rank fusion of four multi-dimensional sentence features extracted for each sentence: topic ...
We generate a novel topic rank for each sentence based on probabilistic topic models. ...
arXiv:2402.05976v1
fatcat:s6tlmuqscjfabm5f6abnpbjgce
General-Purpose Unsupervised Cyber Anomaly Detection via Non-Negative Tensor Factorization
2022
Digital Threats: Research and Practice
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Non-negative tensor factorization, on the other hand, is a powerful unsupervised machine learning method that naturally models multi-dimensional data, capturing complex and multi-faceted details of behavior ...
However, approaches proposed to date based on probabilistic matrix factorization are limited by the information conveyed in a two-dimensional space. ...
We also thank Neale Pickett for providing helpful feedback on the IP address hashing schemes, and Austin Thresher for the feedback on our software design. ...
doi:10.1145/3519602
fatcat:uxt4l4g4pzayjhvxqmmgfksfpy
A Holistic Approach for Predicting Links in Coevolving Multilayer Networks
[article]
2016
arXiv
pre-print
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These likelihoods are used to reweight the output of a single layer link prediction method that uses rank aggregation to combine a set of topological metrics. ...
In coevolving networks, links in one layer result in an increased probability of other types of links forming between the same node pair. ...
The final aggregated score matrix is calculated based on forecast values at time t for each unsupervised method using the decay model. ...
arXiv:1609.03946v1
fatcat:iamtmjh55netzjom6c75avdcki
2019 Index IEEE Transactions on Knowledge and Data Engineering Vol. 31
2020
IEEE Transactions on Knowledge and Data Engineering
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Dong, Y., +,
TKDE April 2019 769-782
Internet of Things
Fog-enabled Event Processing Based on IoT Resource Models. ...
., +, TKDE July 2019 1327-1340 Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. ...
doi:10.1109/tkde.2019.2953412
fatcat:jkmpnsjcf5a3bhhf4ian66mj5y
Designing Multi-Modal Embedding Fusion-Based Recommender
2022
Electronics
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We present our system and its main algorithms for data representations and multi-modal fusion. We show benchmark results on open datasets that outperform the state-of-the-art prior work. ...
We have developed a machine learning-based recommendation system, which can be easily applied to almost any items and/or actions domain. ...
models for general purpose (not only fashion), (3) feature-based recommendations (based on users' likes and item attributes). ...
doi:10.3390/electronics11091391
fatcat:6v6if5e7wjd2tl2ym5roxzz2em
Table of contents
2020
IEEE Transactions on Image Processing
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Scharr 5367 Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction ....................... ........................................................................ J. ...
Ling 5216 A Weighted Fidelity and Regularization-Based Method for Mixed or Unknown Noise Removal From Images on Graphs ................................................................... C. Wang, Z. ...
doi:10.1109/tip.2019.2940372
fatcat:h23ul2rqazbstcho46uv3lunku
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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Fu, Transferable Knowledge-Based Multi-Granularity Fusion Network for Learning Localized Representations of Point Clouds With Graph-Convolu-Color Model. ...
., +, TMM 2021 4093-4105 Event detection Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor. ...
., Low-Rank Pairwise Align- ment Bilinear Network For Few-Shot Fine-Grained Image Classification; TMM 2021 1666-1680 Huang, H., see 1855 -1867 Huang, H., see Jiang, X., TMM 2021 2602-2613 Huang, J., ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review
2022
Frontiers in Genetics
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This review aims to provide an overview of multi-Omics data integration methods with different statistical approaches, focusing on unsupervised learning tasks, including disease onset prediction, biomarker ...
based on RBP-regulating similarity and integrated alternative splicing (AS) event similarities were computed based on AS modulesimilarity. ...
RAIMC (RBP-AS Target Prediction Based on Inductive Matrix Completion) (Qiu et al., 2021) is based on inductive matrix completion (IMC), where integrated RNAbinding proteins (RBP) similarities were calculated ...
doi:10.3389/fgene.2022.854752
pmid:35391796
pmcid:PMC8981526
fatcat:ijmwfu264rbgtaen66tkbr4sgu
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
[article]
2022
arXiv
pre-print
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To this end, we formulate our task as two coupled sub-tasks, namely join event extraction (JEE) and knowledge graph fusion (KGF). ...
We then propose a Collaborative Knowledge Graph Fusion Framework to allow our sub-tasks to mutually assist one another in an alternating manner. ...
The supervisor adds the top-K ranked aligned candidate triples in using beam search. Discussion and Analysis. Our model links event extraction and knowledge graph fusion together as a single process. ...
arXiv:2206.07472v1
fatcat:qlby67a6tzcizpdm5hv42vbeom
Table of contents
2020
IEEE Transactions on Image Processing
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Tapaswi 4832 Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction ....................... ........................................................................ ...
Diamant 445 Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model ........................................................... R. ...
doi:10.1109/tip.2019.2940373
fatcat:i7hktzn4wrfz5dhq7hj75u6esa
Table of Contents
2021
IEEE Signal Processing Letters
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Chen 140 Blind Signal Dereverberation Based on Mixture of Weighted Prediction Error Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Zhang Unsupervised Person Re-Identification Based on Measurement Axis . . . . . . J. Li, D. Cheng, R. Liu, Q. Kou, and K. ...
doi:10.1109/lsp.2021.3134551
fatcat:ab4b4tb5rrcu5cq6aifdekrizq
Web News Data Extraction Technology Based on Text Keywords
2021
Complexity
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By introducing the idea of model fusion, five schemes based on waterfall fusion and parallel combination fusion are designed, and the effects of the five schemes are verified by experiments. ...
It is found that the designed extraction technology has a good effect on network news data extraction. ...
Network News Data Extraction Scheme Based on Model Fusion. Model fusion can significantly improve the accuracy of network news data. ...
doi:10.1155/2021/5529447
fatcat:ep5vufo5crfdhhtjtckmguvqwm
Large-Scale Multi-Document Summarization with Information Extraction and Compression
[article]
2022
arXiv
pre-print
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We also enhance an existing sentence fusion method with a uni-directional language model to prioritize fused sentences with higher sentence probability with the goal of increasing readability. ...
Lastly, we construct a total of twelve dataset variations based on CNN/Daily Mail and the NewsRoom datasets, where each document group contains a large and diverse collection of documents to evaluate the ...
Word Graph-based Sentence Fusion In the second stage, to merge a group of similar sentences into fewer ones, we adopt the word graph-based sentence fusion algorithm proposed by Filippova (2010) . ...
arXiv:2205.00548v1
fatcat:ggbvnw5msnb3dink4yh76x5ecq
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