Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

Sandoval, Catherine; Pirogova, Elena; Lech, Margaret

doi:10.1109/access.2021.3086476

Cited by 5 publications

(3 citation statements)

References 47 publications

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“…At the same time, during this period, academic research was stagnant, resulting in many thinking achievements of intellectuals being “dead in the womb” and failed to appear. Based on this lesson, in the new era, we should put the discussion of art and aesthetic theory back to the field of academic research, talk about academic research, and provide “green” protection for the healthy development of academics so as to promote the emergence and birth of important aesthetic and artistic theory works in the new era [ 12 ].…”

Section: Methodsmentioning

confidence: 99%

Interpretation of Online Artworks of Digital Art Design in the New Media Environment

2022

Journal of Environmental and Public Health

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In order to realize the interpretation of online artworks, the art design of artworks is studied on the basis of new media digital environment. Through the presentation of digital works, the enhancement of dramatic art appreciation, the balanced display of art appreciation, and the enhancement of digital aesthetic creation, the interpretation of artworks has been successfully completed, which strongly supports the digitization of new media. Art design is to constantly breed an updated online art space and attract and summon more viewers’ new experience, new creation, and new perception so as to trigger and develop new propositions, new exploration, and new atmosphere of new media drama. For the current construction of traditional art design, new media digital technology plays a major role. The transformation of digital technology and Internet media is another “holographic” extension of the human body, which has an extremely strong impact on new media art and comprehensively updated our life, art, and aesthetic concepts. This is not only a revolution of media but also a change of art. At the same time, it is also accompanied by the “expansion” of art theory. What this change ultimately needs to complete is the revolution of media culture that affects the development process of human civilization.

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Section: Methodsmentioning

confidence: 99%

Interpretation of Online Artworks of Digital Art Design in the New Media Environment

2022

Journal of Environmental and Public Health

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“…Mathematical Representation [ 18 ]: Initialization: Randomly initialize K centroids

for each cluster. Assignment Step (Expectation): Assign each data point

to the nearest centroid based on Euclidean distance:

Update Step (Maximization): Update the centroids

by computing the mean of all data points assigned to cluster k :

where

is the set of data points assigned to cluster k .…”

Section: Theory and Concepts Behind The Algorithmmentioning

confidence: 99%

Insight into Anomaly Detection and Prediction and Mobile Network Security Enhancement Leveraging K-Means Clustering on Call Detail Records

Aziz,

Bestak

2024

Sensors

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The dynamic and evolving nature of mobile networks necessitates a proactive approach to security, one that goes beyond traditional methods and embraces innovative strategies such as anomaly detection and prediction. This study delves into the realm of mobile network security and reliability enhancement through the lens of anomaly detection and prediction, leveraging K-means clustering on call detail records (CDRs). By analyzing CDRs, which encapsulate comprehensive information about call activities, messaging, and data usage, this research aimed to unveil hidden patterns indicative of anomalous behavior within mobile networks and security breaches. We utilized 14 million one-year CDR records. The mobile network used had deployed the latest network generation, 5G, with various sources of network elements. Through a systematic analysis of historical CDR data, this study offers insights into the underlying trends and anomalies prevalent in mobile network traffic. Furthermore, by harnessing the predictive capabilities of the K-means algorithm, the proposed framework facilitates the anticipation of future anomalies based on learned patterns, thereby enhancing proactive security measures. The findings of this research can contribute to the advancement of mobile network security by providing a deeper understanding of anomalous behavior and effective prediction mechanisms. The utilization of K-means clustering on CDR data offers a scalable and efficient approach to anomaly detection, with 96% accuracy, making it well suited for network reliability and security applications in large-scale mobile networks for 5G networks and beyond.

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“…In the field of clothing design, computer graphics have replaced traditional paper and pens. Drawing software has brought more convenient tools to designers, greatly enriched the design space, and enhanced the communication between designers and producers [13].…”

Section: Introductionmentioning

confidence: 99%

Digital Art Pattern Design Based on Visual Material Colouring Intelligent Programming System

Liu

Liang

et al. 2022

Mathematical Problems in Engineering

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With the continuous enhancement of computer technology, digital technology brings more convenience to people with its powerful functions. After the digital technology is applied to the design field, it greatly expands the creative space of art design. In the digital age, fabric printing and dyeing design needs to be combined with digital technology under the guidance of art theory. Traditional flat patterns can no longer satisfy people’s pursuit of visual illusion patterns with a sense of space and three-dimensionality. The use of computer representation can realize the innovative artistic design and can directly generate various highly creative visual images in the computer according to the theme and creative needs. We input the digital data related to the fabric, such as graphics, photographic photos, logos, fonts, and textures, into the computer and then use various application software to perform various special effects on them to produce creative, unique, and surprising picture effects. In the aspect of exploring the meaning of the theme, the application of spatial expression means is studied, and practical research is carried out to guide the design of works with spatial beauty and creativity. In view of the neglect of artistic design, on the basis of studying the space art expression of traditional printing and dyeing process patterns, the traditional space art expression is combined with computer image processing technology. And special techniques are used to create differences in various textile fabrics and garments. We use the software of digital art design to carry out the artistic creation practice of spatial expression. Through the application of computer software functions, combined with the guidance of spatial expression techniques, the design comparison of patterns is carried out, which provides design practice ideas for the integration and innovation of traditional printing and dyeing technology and modern design. The implementation of the visual material colouring programming system reduces the coupling between artists and programmers and reduces the coupling between art collections and producers. The colouring program in the process of art pattern development improves the efficiency of art design.

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Adversarial Learning Approach to Unsupervised Labeling of Fine Art Paintings

Cited by 5 publications

References 47 publications

Interpretation of Online Artworks of Digital Art Design in the New Media Environment

Interpretation of Online Artworks of Digital Art Design in the New Media Environment

Insight into Anomaly Detection and Prediction and Mobile Network Security Enhancement Leveraging K-Means Clustering on Call Detail Records

Digital Art Pattern Design Based on Visual Material Colouring Intelligent Programming System

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