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The pursuit of beauty: Converting image labels to meaningful vectors [article]

Savvas Karatsiolis, Andreas Kamilaris
2020 arXiv   pre-print
A challenge of the computer vision community is to understand the semantics of an image, in order to allow image reconstruction based on existing high-level features or to better analyze (semi-)labelled  ...  Towards addressing this challenge, this paper introduces a method, called Occlusion-based Latent Representations (OLR), for converting image labels to meaningful representations that capture a significant  ...  Acknowledgments The authors have received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No 739578 complemented by the Government of the Republic  ... 
arXiv:2008.00665v1 fatcat:sllnbhqx6ncmvmsld42u5xyk6u

Beauty and Wellness in the Semantic Memory of the Beholder

Yoed N. Kenett, Lyle Ungar, Anjan Chatterjee
2021 Frontiers in Psychology  
In contemporary societies that are pre-occupied by the pursuit of beauty and a healthy lifestyle, our findings shed novel light on how people think about beauty and wellness and how they are related across  ...  These mappings were achieved by estimating group-based semantic networks from free association responses to a list of 47 words, either related to Beauty, Wellness, or Beauty + Wellness.  ...  the word-vector obtained by adding the word vectors of Beauty and Wellness.  ... 
doi:10.3389/fpsyg.2021.696507 fatcat:eloso5c53rg6tc5jo4xr3ptkoy

GANs and Artificial Facial Expressions in Synthetic Portraits

Pilar Rosado, Rubén Fernández, Ferran Reverter
2021 Big Data and Cognitive Computing  
We investigated the potential of GAN's latent spaces to encode human expressions, highlighting creative interest for suboptimal solutions rather than perfect reproductions, in pursuit of the artistic concept  ...  GANs have enabled us to achieve an unprecedented degree of realism in the creation of synthetic images of human faces, landscapes, and buildings, among others.  ...  In the learning process of the discriminator net, it is fundamental to label the real images as 'real' and the false images as 'fake'.  ... 
doi:10.3390/bdcc5040063 fatcat:nzmpr5xcefhpvilpuiyighw4ai

Embracing Statistical Challenges in the Information Technology Age

Bin Yu
2007 Technometrics  
The new data forms, huge data volumes, and high data speeds of IT are contrasted against the constraints on storage, transmission and computation to point to the challenges and opportunities.  ...  Moreover, two research projects on network tomography and arctic cloud detection are used throughout the paper to bring the discussions to a concrete level.  ...  The author would also like to thank Guilherme Rocha for obtaining, and Tao Shi for assisting, the L 1 -penalized logistic regression and logistic regression results on the arctic cloud detection problem  ... 
doi:10.1198/004017007000000254 fatcat:4xfi5jfucfej5n6b2scy2hialy

Making Transnational Adults From Youth: Mexican Immigrant Youth in Pursuit of the Mexican Dream

Isabel Martinez
2017
Subject both to the social and economic conditions of their home communities, as well as to the messages they receive from their kin and friends already in New York City related to age, work and schooling  ...  Contributing to current immigration and education literature which emphasizes the formal school-going practices of immigrant youth, this dissertation broadens this discussion to explore not only their  ...  in the United States. beautiful, vast open spaces.  ... 
doi:10.7916/d84t6r9z fatcat:aszlvk3jejcpjnahnwjkhvkdca

The Restoration of Venus : the Nude, Beauty and Modernist Misogyny

Maureen Kay Kane, University, My, Russell Craig
2018
century is one of resistance to the female subject as the symbol of beauty.  ...  , in the words of abstract expressionist Barnett Newman, sought "to destroy beauty."  ...  the meaningfulness of the work.  ... 
doi:10.25904/1912/3775 fatcat:xbramtakx5fxhizjaw3oj6sijm

Illustration Art Based on Visual Communication in Digital Context

Yanqi Wang, Liping Zhang
2022 Mobile Information Systems  
We calculate the probability of gray pixels appearing using the histogram equalization method, assign thresholds to pixels, and enhance the gray value of images using the equalization process.  ...  It has been demonstrated that the restored image integrity of the system is higher than that of the existing system, and that its performance is better.  ...  For visual images, virtual packaging modeling technology must be used in the links of image correction vision system and label position relationship, and the order of related links must be strictly operated  ... 
doi:10.1155/2022/7364003 fatcat:2qk46krc5be3nixv7kfxxyyo6y

Mining Layered Grammar Rules for Action Recognition

Liang Wang, Yizhou Wang, Wen Gao
2010 International Journal of Computer Vision  
The grammar rules are categorized into three classes according to three different ST-relations of their action components, namely the strong relation, weak relation and stochastic relation.  ...  We propose a layered-grammar model to represent actions. Using this model, an action is represented by a set of grammar rules.  ...  These emerging patterns are subsequently converted to the production rules.  ... 
doi:10.1007/s11263-010-0393-z fatcat:djpm6qeyujgbxj7fddiidtdriy

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer

Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao
2018 IEEE Transactions on Image Processing  
An auxiliary classifier is used to recognize the style categories of transferred images, thereby helping the generative networks generate images in multiple styles.  ...  The discriminative networks are used to distinguish whether the input image is a stylized or genuine image.  ...  The input of generative network is obtained by concatenating the content image with the outer product of these noise vectors and the class label.  ... 
doi:10.1109/tip.2018.2869695 pmid:30222565 fatcat:vjk5eufctrdpxle7be2d4ilzae

Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning [article]

Gustav Larsson
2017 arXiv   pre-print
As complexity is increased, so is the need for large amounts of labeled data to train the model. This is associated with a costly human annotation effort.  ...  To address this concern, with the long-term goal of leveraging the abundance of cheap unlabeled data, we explore methods of unsupervised "pre-training."  ...  Color Spaces We generate training data by converting color images to grayscale according to L = R+G+B 3 .  ... 
arXiv:1708.05812v1 fatcat:w77w3q3ms5c5fnyzl65mkj4ozy

Worldwide city transport typology prediction with sentence-BERT based supervised learning via Wikipedia [article]

Srushti Rath, Joseph Y.J. Chow
2022 arXiv   pre-print
Despite the value of understanding a city's typology, labeled data (city and it's typology) is scarce, and spans at most a few hundred cities in the current transportation literature.  ...  An overwhelming majority of the world's human population lives in urban areas and cities.  ...  ACKNOWLEDGEMENT The authors wish to acknowledge the funding support from C2SMART University Transportation Center (USDOT #69A3551747124).  ... 
arXiv:2204.05193v1 fatcat:kyeqndkbz5es5fnxelzwegbqte

An Educational Guide through the FMP Notebooks for Teaching and Learning Fundamentals of Music Processing

Meinard Müller
2021 Signals  
The FMP notebooks comprise detailed textbook-like explanations of central techniques and algorithms combined with Python code examples that illustrate how to implement the methods.  ...  While giving a guide through the notebooks, this paper's objective is to yield concrete examples on how to use the FMP notebooks to create an enriching, interactive, and interdisciplinary supplement for  ...  of the notebooks.  ... 
doi:10.3390/signals2020018 doaj:1d470fbf86c24cd391bdf9d10cfb3dd2 fatcat:orfaj3gpq5hdzpozv5x4xu7bg4

Dynamics of Hierarchical Urban Green Space Patches and Implications for Management Policy

Zhoulu Yu, Yaohui Wang, Jinsong Deng, Zhangquan Shen, Ke Wang, Jinxia Zhu, Muye Gan
2017 Sensors  
Owning to the increasing availability of image data from multiple sources, the quantification of spatiotemporal patterns for green space frequently relies on remote sensing [28] [29] [30] .  ...  The method involves two steps. First, MESMA was applied to time series Landsat images to estimate vegetation cover fraction (VCFs) at the sub-pixel level.  ...  This study demonstrates a practicable and meaningful application of time series Landsat images to explore the evolution of urban green space.  ... 
doi:10.3390/s17061304 pmid:28587309 pmcid:PMC5492285 fatcat:et6fnpcrxzf6rn43iy5ryzwmg4

Deep Face Recognition: A Survey [article]

Mei Wang, Weihong Deng
2020 arXiv   pre-print
Deep learning applies multiple processing layers to learn representations of data with multiple levels of feature extraction.  ...  Since then, deep learning technique, characterized by the hierarchical architecture to stitch together pixels into invariant face representation, has dramatically improved the state-of-the-art performance  ...  Adversarial perturbation is the other type of attack which can be defined as the addition of a minimal vector r such that with addition of this vector into the input image x, i.e.  ... 
arXiv:1804.06655v9 fatcat:i2yxh7bf45attlfjd3akyc65me

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Benjamin Paassen, Barbara Hammer, Thomas W. Price, Tiffany Barnes, Sebastian Gross, Niels Pinkwart
2018 Zenodo  
In particular, we extend the Hint Factory by considering data of past students in all states which are similar to the student's current state and creating hints approximating the weighted average of all  ...  Because the space of possible weighted averages is continuous, we call this approach the Continuous Hint Factory.  ...  We also wish to express our gratitude to our anonymous reviewers and our editors who helped to increase the quality of our contribution substantially.  ... 
doi:10.5281/zenodo.3554697 fatcat:yrd4o7kemngshagb4nalpzaqry
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