Essays about: "Text art"
Showing result 1 - 5 of 231 essays containing the words Text art.
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1. Time-based Key for Coverless Audio Steganography: A Proposed Behavioral Method to Increase Capacity
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Coverless steganography is a relatively unexplored area of steganography where the message is not embedded into a cover media. Instead the message is derived from one or several properties already existing in the carrier media. This renders steganalysis methods used for traditional steganography useless. READ MORE
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2. The Mirror in the Artwork : A Semiotic Psychoanalysis of Season Two of The White Lotus
University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Abstract : This text uses a semiotic psychoanalytical framework to analyze season two of The White Lotus. This text examines the significance of the artwork of the show and applies Lacan’s mirror theory to the series’ artwork and the character Ethan. READ MORE
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3. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. READ MORE
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4. Garbage In, Garbage Out? : Exploring textile sculpture through refuse material
University essay from Konstfack/TextilAbstract : This paper examines the processes, materials, and influences of Karina Presttun, an artist who explores building abstract sculptures with twine made from second-hand fabrics. She discusses how her work aims to share emotions and visual experiences that do not translate well into text and how she has been inspired by fiber artists, basket makers, and music. READ MORE
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5. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE