Learning to read by spelling: towards unsupervised text recognition 著者: Gupta, A, Vedaldi, A, Zisserman, A

“…This enables fully automated, and unsupervised learning from just line-level text-images, and unpaired text-string samples, obviating the need for large aligned datasets. …”

GANVO: unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks 著者: Almalioglu, Y, Saputra, MRU, De Gusmao, PPB, Markham, A, Trigoni, N

“…In this study, we propose a generative unsupervised learning framework that predicts 6-DoF pose camera motion and monocular depth map of the scene from unlabelled RGB image sequences, using deep convolutional Generative Adversarial Networks (GANs). …”

Multivariate relationship modeling using nested fuzzy cognitive map 著者: Motlagh, O., Papageorgiou, E.l., Tang, S.H., Zamberi Jamaludin

“…This includes regression and relationship modeling of highly interrelated variables with applications in curve fitting, interpolation, classification, supervised learning, generalization, unsupervised learning and forecast. Fuzzy cognitive map (FCM) is a recurrent neural structure that encompasses all possible connections including relationships among inputs, inputs to outputs and feedbacks. …”
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A vehicle classification algorithm based on telematics data 著者: Nguyen, Linh Vuong

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Characterizing 4-string contact interaction using machine learning 著者: Erbin, Harold, Fırat, Atakan Hilmi

“…We obtain Strebel quadratic differentials on 4-punctured spheres as a neural network by performing unsupervised learning with a custom-built loss function. …”
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A biological model of object recognition with feature learning 著者: Louie, Jennifer, 1980-

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Modeling Invariances in Inferotemporal Cell Tuning 著者: Riesenhuber, Maximilian, Poggio, Tomaso

“…Simulations show that the model is capable of unsupervised learning of view-tuned neurons. The model also allows to make experimentally testable predictions regarding novel stimulus transformations and combinations of stimuli.…”
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Unsupervised rumor detection based on users’ behaviors using neural networks 著者: Chen, Weiling, Zhang, Yan, Yeo, Chai Kiat, Lau, Chiew Tong, Lee, Bu Sung

“…In order to detect the few but potentially harmful rumors to prevent the public issues they may cause, we propose an unsupervised learning model combining Recurrent Neural Networks and Autoencoders to distinguish rumors as anomalies from other credible microblogs based on users’ behaviors. …”
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Detection of hazardous events based on social media and news 著者: Wu, Chuqiao

“…Thirdly, after classification, unsupervised learning is performed to cluster posts related to a same event together. …”
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Analysis of machine learning application in campus network traffic anomaly detection 著者: Li, Rongrong

“…In this paper, machine learning algorithms are first utilized to extract features of campus network traffic, and then the multi-attention mechanism is introduced to fuse the massive features extracted at different scales. Unsupervised learning is used to propose a method for detecting network traffic anomalies, and simulation experiments are conducted to verify the model's performance. …”
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Robust models and novel similarity measures for high-dimensional data clustering 著者: Nguyen, Duc Thang

“…We investigate how statistics, machine learning and meta-heuristics techniques can be used to improve existing methods or develop novel models for unsupervised learning of high-dimensional data. Our goals are to develop efficient clustering algorithms that could reflect the natural properties of high-dimensional data, be robust to outliers and less sensitive to initialization; algorithm that are simple and fast, easily applicable and still produce good clustering quality. …”
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Large-scale unsupervised semantic segmentation 著者: Gao, S, Li, Z-Y, Yang, M-H, Cheng, M-M, Han, J, Torr, P

“…Empowered by large datasets, e.g., ImageNet and MS COCO, unsupervised learning on large-scale data has enabled significant advances for classification tasks. …”

Extracting social structure from darkweb forums 著者: Phillips, E, Nurse, J, Goldsmith, M, Creese, S

“…Our analysis involved first calculating a range of SNA metrics to better understand the group members, and then apply unsupervised learning in order to create clusters that would help classify the Dark Web Forums users into hierarchical clusters. …”

An embedded diachronic sense change model with a case study from ancient Greek 著者: Zafar, S, Nicholls, GK

“…GASC (Genre-Aware Semantic Change) and DiSC (Diachronic Sense Change) are existing generative models that have been used to analyse sense change for target words from an ancient Greek text corpus, using unsupervised learning without the help of any pre-training. …”

A framework for image enhancement via contextual information and epitome-based representation 著者: Chee, Seng Chan, Liu, Honghai, Tsz Ming, James Hui, Brown, David J., Khalid, Marzuki

“…First, we employ unsupervised learning to train the video in terms of epitomes, and then the classification of the watch is formulated as a search problem of finding the target pixels in the epitomes. …”
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Integrated bisect K-means and firefly algorithm for hierarchical text clustering 著者: Mohammed, Athraa Jasim, Yusof, Yuhanis, Husni, Husniza

“…Such a result indicates that the proposed Bisect FA is a competitive algorithm for unsupervised learning.…”
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Learning diseases from data : a disease space odyssey 著者: Haslam, Bryan (Bryan Todd)

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Interpretable neural networks via alignment and dpstribution Propagation 著者: Malalur, Paresh(Paresh G.)

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Medical imaging algorithm research for diagnosis of ocular diseases 著者: Tan, Ngan Meng

“…Instead, in the second work, a novel region-based unsupervised learning approach for automatic optic cup localization is proposed. …”
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Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters 著者: Wan Maseri, Wan Mohd, Beg, Abul Hashem, Herawan, Tutut, Noraziah, Ahmad

“…K-means is an unsupervised learning and partitioning clustering algorithm. …”
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