535 research outputs found
The Double Bind of History
No full textThe article is a preface to the monographic book of the Ukrainian contemporary visual artist Nikita Kadan. The work of Nikita Kadan combines an attempt to represent the loss of a coherent historical narrative and an effort to reestablish its role in society. The attentive alignment of his practice to critical socio-political issues provides us with an insight into the political experience of the totalizing “now” characterizing the current situation in Ukraine. Emerging from a tradition of collective activism within the R.E.P. group, Kadan’s individual practice has elaborated a body of works encompassing the notions of politics of memory and the relations between the narratives of modernity and the reality of capitalist society. A particular sensibility for the status of history and the ability to visualize the internal mechanisms that regulate the dynamics between forgetfulness and memory pervade his works
Gakuen kadan.
No full textTitle taken from the reference source by Nanako Yamada.; English title devised by cataloguer based on unpublished notebooks by Richard Clough.; Printmaker's seal and signature present.; Not reproduced in Nanako Yamada's reference books.; Also available online at: http://nla.gov.au/nla.pic-vn6261742; 880-05 The print was produced as a kuchie frontispiece for a collection of short stories titled Gakuen kadan by Baikao.; Richard Clough notebook v. 3, no. 27.Woman, dog, screen with fan
History of Ice-hockey in Kadan
No full textBakalařská práce zaměřená na historii hokeje v Kadani. Práce pojednává o úplných začátcích hokeje v Kadani a o jeho postupném vývoji. Informace obsažené v této práci popisují jednotlivé etapy vývoje seniorského, mládežnického a také, dnes v Kadani již zaniklého, ženského hokeje. V práci lze také nalézt několik fotografií dokumentujících historický vyvoj a stavbu zastřešeného stadionu.Katedra tělesné a sportovní výchovyObhájenoBachelor´s work is oriented on history Ice-hockey in Kadan. Work is about complete beginnings of ice-hockey in Kadan and his progress. Informations in this bachelor´s work describe each period of men´s, junior and women´s hockey. Women´s hockey is ended in Kadan. In this work you can find a few photographs about historical progress a and structure of Ice-rink
Affect-oriented fake news detection using machine learning
No full textAmong all other media platforms, online social media plays an important role in sharing news and information along with user opinion. This quick propagation and accumulation of information form a data deluge where it is very hard to believe all the pieces of information eventhough it appears to be very realistic
Prague Spring and Soviet Intervention in Kadan in 1968
Get PDFVe své práci Pražské jaro a sovětská intervence v Kadani v roce 1968 jsem se zabýval vpádem sovětských vojsk do Kadaně. Sledoval jsem chronologický vývoj města v kontextu dějin Československa v období po druhé světové válce až do srpnových dnů roku 1968. Vrcholem je pak líčení událostí v Kadani od 21. srpna 1968, postoj a projevy rezistence obyvatelstva nebo orgánů města vůči okupaci. V závěrečné fázi se práce věnuje důsledkům okupace v regionu. Práce vychází ze studia odborné literatury k dané problematice, zejména výkladu československých dějin a na regionální úrovni z interpretace dostupných pramenů, uložených ve Státním okresním archivu Chomutov se sídlem v Kadani - regionální tisk, dokumenty úřední povahy, fotografie. Práce je doplněna o vzpomínku pamětníka. KLÍČOVÁ SLOVA Pražské jaro, 1968, Kadaň, sovětská okupace, rezistence, vzpomínky, kultura, historieIn my work The Prague Spring and the Soviet Intervention in Kadan in 1968, I dealt with the invasion of soviet soldiers into Kadan. I followed the chronological development of Kadan town in the context of the history of Czechoslovakia in the period after World War II until the days of August 1968. The highlight is the description of the events in Kadan from August 21th 1968, the attitude and manifestations of resistance of the population or city authorities against the occupation. In the final phase, the work deals with the consequences of the occupation in the region. The work is based on the study of reference book on the issue, especially the interpretation of Czechoslovak history and at the regional level from the interpretation of available sources stored in the State District Archive Chomutov based in Kadan - regional press, official documents, photographs. The work is supplemented by the memory of the witness. KEYWORDS Prague Spring, 1968, Kadan, soviet occupation, resistance, memories, culture, historyKatedra dějin a didaktiky dějepisuFaculty of EducationPedagogická fakult
Toward exploring fairness in visual transformer based natural and GAN image detection systems
No full textImage forensics research has recently witnessed a lot of advancements towards developing computational models capable of accurately detecting natural images captured by cameras and GAN generated images. However, it is also important to ensure whether these computational models are fair enough and do not produce biased outcomes that could eventually harm certain societal groups or cause serious security threats. Exploring fairness in image forensic algorithms is an initial step towards mitigating these biases. This study explores bias in visual transformer based image forensic algorithms that classify natural and GAN images, since visual transformers are recently being widely used in image classification based tasks, including in the area of image forensics. The proposed study procures bias evaluation corpora to analyze bias in gender, racial, affective, and intersectional domains using a wide set of individual and pairwise bias evaluation measures. Since the robustness of the algorithms against image compression is an important factor to be considered in forensic tasks, this study also analyzes the impact of image compression on model bias. Hence, to study the impact of image compression on model bias, a two-phase evaluation setting is followed, where the experiments are carried out in uncompressed and compressed evaluation settings. The study could identify bias existences in the visual transformer based models distinguishing natural and GAN images, and also observes that image compression impacts model biases, predominantly amplifying the presence of biases in class GAN predictions
The Kadan Urban Book as a Source for the History of Late Gothic Art
No full textBased on testaments of Kadan burghers from the years 1456-1522, the study follows the development of sacral architecture and graphic and plastic arts. The activity of donators is viewed as an expression of late medieval religious feelings
Indexing and retrieval of Malayalam news videos based on word image matching
No full textNews videos store a huge amount of information and are a source of historical archives. The amount of news data is growing rapidly and unpredictably, hence video indexing on news videos is a tedious job. Manual indexing even though effective, it is slow and most expensive for a massive volume of data. Content Based Indexing and Retrieval (CBIR) is a solution for this problem. Textual modality based on ticker texts is powerful enough to represent a news video since it highlights all the topics in a news bulletin. Searching and retrieval from Malayalam news videos are challenging due to the lack of effective tools for automatic content based indexing and retrieval from massive database analyzing the semantics of the news videos. The ticker texts are extracted automatically using mathematical morphology and region clustering and indexing and retrieval based on text or word image matching is implemented. Different methods like Dynamic Time Warping (DTW), Exclusive-OR (XOR), and Correlation are performed for word image matching. The features Discrete Cosine Transform (DCT) and Normalized Vertical Projection Profile (nvpp) are found to give better results
Cross-domain sentiment analysis on social media interactions using senti-lexicon based hybrid features
No full textAnalyzing the sentiment information from the social media interactions is a rapidly growing research area. Several studies in the literature focus on modeling the sentiment information using linguistics, generic word counts and even the contextual information, including the presence of punctuations, elongated words, emoticons, etc. In this paper, we experiment on the effectiveness of lexicon information in combination with other information, for the effective analysis of sentiment in social interactions. The objective of this study is to experimentally verify how senti-lexicons can take part in the process of modeling the sentiment information even in cross-domain sentiment analysis. In general, this paper explores the effectiveness of several feature vectors including the generic Bag of Word (BoW), linguistic (N-Gram and Part-of-Speech (POS)) and the lexicon features (number of positive and negative words). Other than the traditional features we generate hybrid features by combining the lexicon features with the BoW and linguistic features. We conduct the experiments on sentiment classification using supervised models like Linear SVC (L-SVC), Multi-Layer Perceptron (MLP), Multinomial Naïve Bayes (MNB) and Decision Tree (DT). The experiments are conducted on three different types of sentiment document datasets - the Amazon food review dataset, student opinion tweet dataset, and the Large Movie Review Dataset v1.0. We also verify the efficacy of these features in cross-domain sentiment analysis. Experiments show that hybridizing the BoW, linguistic N-Gram and POS method with lexicon features improves the accuracy of sentiment classification even for cross-domain sentiment analysis
Leveraging heterogeneous data for fake news detection
No full textNowadays, a plenty of social media platforms are available to exchange information rapidly. Such a rapid propagation and cumulation of information form a deluge, in which it is hard to believe all the pieces of information since it appears to be very realistic. In this context, characterizing and recognizing misinformation, especially, fake news, is a highly recommended computational task. News fabrication mostly happens through the textual and visual content comprised in the news article. People spreading fake news have been intentionally modifying the content of a news with some partially true information or use fully manipulated information, newly fabricated stories, etc., which could mislead others. Fake news characterization and detection are the computational studies that focus to get rid of the highly malicious news creation and propagation. The textual and visual content-related features, temporal and propagation patterns of the network, that use traditional and deep neural computations are the methods to identify fake news generation and spread. This chapter discusses the methods to leverage heterogeneous data to curb the fake news generation and propagation. We present an extensive review of the state-of-the-art fake news detection systems, in the context of different modalities emphasizing the content-based approaches including text and image modality and also discuss briefly the network, temporal, and knowledge base approaches. This study also extends to discuss the available datasets in this area, the open issues, and future directions of research
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