Parametric classification in domains of characters, numerals, punctuation, typefaces and image qualities

This thesis contributes to the Optical Font Recognition problem (OFR), by developing a classifier system to differentiate ten typefaces using a single English character ‘e’. First, features which need to be used in the classifier system are carefully selected after a thorough typographical study of global font features and previous related experiments. These features have been modeled by multivariate normal laws in order to use parameter estimation in learning. Then, the classifier system is built up on six independent schemes, each performing typeface classification using a different method. The results have shown a remarkable performance in the field of font recognition. Finally, the classifiers have been implemented on Lowercase characters, Uppercase characters, Digits, Punctuation and also on Degraded Images

Using biased support vector machine in image retrieval with self-organizing map.

Chan Chi Hang.Thesis submitted in: August 2004.Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.Includes bibliographical references (leaves 105-114).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.ivChapter 1 --- Introduction --- p.1Chapter 1.1 --- Problem Statement --- p.3Chapter 1.2 --- Major Contributions --- p.5Chapter 1.3 --- Publication List --- p.6Chapter 1.4 --- Thesis Organization --- p.7Chapter 2 --- Background Survey --- p.9Chapter 2.1 --- Relevance Feedback Framework --- p.9Chapter 2.1.1 --- Relevance Feedback Types --- p.11Chapter 2.1.2 --- Data Distribution --- p.12Chapter 2.1.3 --- Training Set Size --- p.14Chapter 2.1.4 --- Inter-Query Learning and Intra-Query Learning --- p.15Chapter 2.2 --- History of Relevance Feedback Techniques --- p.16Chapter 2.3 --- Relevance Feedback Approaches --- p.19Chapter 2.3.1 --- Vector Space Model --- p.19Chapter 2.3.2 --- Ad-hoc Re-weighting --- p.26Chapter 2.3.3 --- Distance Optimization Approach --- p.29Chapter 2.3.4 --- Probabilistic Model --- p.33Chapter 2.3.5 --- Bayesian Approach --- p.39Chapter 2.3.6 --- Density Estimation Approach --- p.42Chapter 2.3.7 --- Support Vector Machine --- p.48Chapter 2.4 --- Presentation Set Selection --- p.52Chapter 2.4.1 --- Most-probable strategy --- p.52Chapter 2.4.2 --- Most-informative strategy --- p.52Chapter 3 --- Biased Support Vector Machine for Content-Based Image Retrieval --- p.57Chapter 3.1 --- Motivation --- p.57Chapter 3.2 --- Background --- p.58Chapter 3.2.1 --- Regular Support Vector Machine --- p.59Chapter 3.2.2 --- One-class Support Vector Machine --- p.61Chapter 3.3 --- Biased Support Vector Machine --- p.63Chapter 3.4 --- Interpretation of parameters in BSVM --- p.67Chapter 3.5 --- Soft Label Biased Support Vector Machine --- p.69Chapter 3.6 --- Interpretation of parameters in Soft Label BSVM --- p.73Chapter 3.7 --- Relevance Feedback Using Biased Support Vector Machine --- p.74Chapter 3.7.1 --- Advantages of BSVM in Relevance Feedback . . --- p.74Chapter 3.7.2 --- Relevance Feedback Algorithm By BSVM --- p.75Chapter 3.8 --- Experiments --- p.78Chapter 3.8.1 --- Synthetic Dataset --- p.80Chapter 3.8.2 --- Real-World Dataset --- p.81Chapter 3.8.3 --- Experimental Results --- p.83Chapter 3.9 --- Conclusion --- p.86Chapter 4 --- Self-Organizing Map-based Inter-Query Learning --- p.88Chapter 4.1 --- Motivation --- p.88Chapter 4.2 --- Algorithm --- p.89Chapter 4.2.1 --- Initialization and Replication of SOM --- p.89Chapter 4.2.2 --- SOM Training for Inter-Query Learning --- p.90Chapter 4.2.3 --- Incorporate with Intra-Query Learning --- p.92Chapter 4.3 --- Experiments --- p.93Chapter 4.3.1 --- Synthetic Dataset --- p.95Chapter 4.3.2 --- Real-World Dataset --- p.95Chapter 4.3.3 --- Experimental Results --- p.97Chapter 4.4 --- Conclusion --- p.98Chapter 5 --- Conclusion --- p.102Bibliography --- p.10

Graphical tools for ground truth generation in HTR tasks

[EN] This report will cover the development of several graphical tools for ground truth generation in HTR tasks, specifically for layout analysis, line segmentation, and transcription, as well as one ad hoc tool needed for point classification in an implemented line size normalization method. It will show the design process behind the tools, giving an overview of the internal structure through class diagrams. It will also explain the mentioned phases of the HTR with the aim of clarifying each tool context and utility. Finally, the report will close with a brief conclusions and considerations about the future of the tools.[CA] Aquest informe cobrirà el desenvolupament de diverses ferramentes gràfiques utilitzades en la generació de ground truth en tasques de reconeixement de text manuscrit (HTR), especificament anàlisi de layout, segmentació en línies i transcripció, així com una ferramenta ad hoc requerida per a la classificació de punts necessària en un mètode de normalització de tamany de línia que vam implementar. Mostrarà el procès de disseny previ al desenvolupament de les ferramentes, donant una visió general de l'estructura interna a través de diagrames de classe. També explicarà les diferents fases del procès de HTR previament mencionades, amb l'intenció de clarificar el context i l'utilitat de les diferents ferramentes. Finalment, l'informe acabarà amb unes breus conclussions i algunes consideracions sobre el futur de les ferramentes.Martínez Vargas, J. (2014). Graphical tools for ground truth generation in HTR tasks. http://hdl.handle.net/10251/36156.Archivo delegad

Machine Learning Algorithm for the Scansion of Old Saxon Poetry

Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input verses

PAPER PEOPLE AND DIGITAL MEMORY: RECREATING THE PUBLIC AND PRIVATE IN JAPAN

This research examines how reading and writing on digital platforms establishes public and private spheres in Tokyo, Japan. Based upon findings from a group of students at an international University, I develop new modes of thinking about people and their use of Internet capable devices by exploring the paradoxes present in contemporary literacies. Contextualizing reading and writing within the speech patterns and exchange rituals (aisatsu) which mark public spheres in Japan, writing practices are found to reflect multiple nuanced identity performances in which the varied use of the cultural principles uchi/soto (inside/outside) and ura/omote (back/front) create parallel publics. Constructed by authors and recognized by readers, these parallel publics are the result of student agency as well as the materiality of platform programing and device capabilities. Contemporary literacies have developed conventions which account for the message recipient carrying an ever-present Internet capable device, leading authors to utilize message practices which align the proximity of a platform to levels of intimacy in a relationship. Authors also compose messages which are less likely to require the receiver to excuse themselves from any given social situation. The ubiquity of human-device pairs has also impacted memory practices, with youths prioritizing recognition skills over memorization

Digital History and Hermeneutics

For doing history in the digital age, we need to investigate the “digital kitchen” as the place where the “raw” is transformed into the “cooked”. The novel field of digital hermeneutics provides a critical and reflexive frame for digital humanities research by acquiring digital literacy and skills. The Doctoral Training Unit "Digital History and Hermeneutics" is applying this new digital practice by reflecting on digital tools and methods

Hearing the Voices of the Deserters: Activist Critical Making in Electronic Literature

Critical making is an approach to scholarship which combines discursive methods with creative practices. The concept has recently gained traction in the digital humanities, where scholars are looking for ways of integrating making into their research in ways that are inclusive and empowering to marginalized populations. This dissertation explores how digital humanists can engage critical making as a form of activism in electronic literature, specifically in the interactive fiction platform Twine. The author analyzes the making process of her own activist Twine game The Deserters and embeds the project within digital humanities discourses on activism and social justice, hypertext, electronic literature, critical making, and hacker culture. The Deserters is a text-based digital game based on the experiences of the author\u27s family as refugees from East Germany. The player\u27s objective in the game is to research a family\u27s history by searching the game-world for authentic documents, including biographical writings, journal entries, photographs, and records, thereby retracing historical events through personal experience. The Deserters aims at inspiring a compassionate and empathetic stance towards immigrants and refugees today. The author reflects on the ethical, narrative, aesthetic, and technical choices she made throughout the creation process of The Deserters to create a critical activist game. The results of the analysis demonstrate that Twine offers a unique environment for composing politically impactful personal narratives. From the project, the author derives best practices for activist critical making, which emphasize the importance for makers to imagine the needs and perspectives of their audience. The work expands digital humanities\u27 theoretical and practical toolkit for critical making

Electronic Imaging & the Visual Arts. EVA 2019 Florence

The Publication is following the yearly Editions of EVA FLORENCE. The State of Art is presented regarding the Application of Technologies (in particular of digital type) to Cultural Heritage. The more recent results of the Researches in the considered Area are presented. Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Science and Culture Developments & Applications; New Technical Developments & Applications; Cultural Activities – Real and Virtual Galleries and Related Initiatives, Access to the Culture Information. One Workshop regards Innovation and Enterprise. The more recent results of the Researches at national and international level are reported in the Area of Technologies and Culture Heritage, also with experimental demonstrations of developed Activities

AI: Limits and Prospects of Artificial Intelligence

The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and social problems, and present some existing and potential solutions. At the same time, the contributors highlight the societal and attending economic hopes and fears, utopias and dystopias that are associated with the current and future development of artificial intelligence