Search for dissertations about: "Image Translation"

Showing result 1 - 5 of 162 swedish dissertations containing the words Image Translation.

2. 1. Translation, Teamwork, and Technology : The Use of Social and Material Scaffolds in the Translation Process

   Author : Raphael Sannholm; Yvonne Lindqvist; Hanna Risku; Mona Blåsjö; Maureen Ehrensberger-Dow; Stockholms universitet; []
   Keywords : HUMANIORA; HUMANITIES; cognitive translation studies; socio-cognitive approaches; ethnography; translation workplace; translation process; scaffolding; extended translation; social interaction; translation technology; Translation Studies; översättningsvetenskap;

   Abstract : This dissertation explores translators’ interactions with social and material resources in the translation process. The general aim of the study is to contribute to the knowledge about cognitive translation processes in naturalistic settings, with a specific focus on the ways in which translators interact with social actors and technological resources. READ MORE

4. 2. Methods for Reliable Image Registration : Algorithms, Distance Measures, and Representations

   Author : Johan Öfverstedt; Natasa Sladoje; Mattias Heinrich; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image registration; alignment; local optimization; global optimization; mutual information; normalized gradient fields; representation learning; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : Much biomedical and medical research relies on the collection of ever-larger amounts of image data (both 2D images and 3D volumes, as well as time-series) and increasingly from multiple sources. Image registration, the process of finding correspondences between images based on the affinity of features of interest, is often required as a vital step towards the final analysis, which may consist of a comparison of images, measurement of movement, or fusion of complementary information. READ MORE

5. 3. Adapting Deep Learning for Microscopy: Interaction, Application, and Validation

   Author : Ankit Gupta; Carolina Wählby; Ida-Maria Sintorn; Ola Spjuth; Andreas Hellander; Philip Kollmannsberger; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Microscopy; Human-in-the-Loop; Semi-Supervised Learning; Application-Specific Analysis; Image Classification; Image-to-Image Translation; Template Matching; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : Microscopy is an integral technique in biology to study the fundamental components of life visually. Digital microscopy and automation have enabled biologists to conduct faster and larger-scale experiments with a sharp increase in the data generated. READ MORE

6. 4. Adaptive Evolution of the Bacterial Translation Machinery

   Author : Arindam De Tarafder; Suparna Sanyal; Michael Y. Pavlov; Ruben L. Jr. Gonzalez; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ribosome; Translation; Translation machinery; Elongation; Evolution; RNA world; Cold bacteria; Molekylär biovetenskap; Molecular Life Sciences;

   Abstract : The process of protein synthesis via translation is of paramount importance for the existence of life on Earth. The bacterial translation machinery has embraced more than 3.5 billion years of molecular evolution to adapt and function efficiently under the provided physiological conditions. READ MORE

7. 5. Discourse in Statistical Machine Translation

   Author : Christian Hardmeier; Joakim Nivre; Jörg Tiedemann; Marcello Federico; Lluís Màrquez; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistical machine translation; Discourse-level machine translation; Document decoding; Local search; Pronominal anaphora; Pronoun translation; Neural networks; Computational Linguistics; Datorlingvistik;

   Abstract : This thesis addresses the technical and linguistic aspects of discourse-level processing in phrase-based statistical machine translation (SMT). Connected texts can have complex text-level linguistic dependencies across sentences that must be preserved in translation. However, the models and algorithms of SMT are pervaded by locality assumptions. READ MORE