Essays about: "common perceptual"
Showing result 1 - 5 of 16 essays containing the words common perceptual.
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1. A light stimuli
University essay from KTH/LjusdesignAbstract : Light as a catalyst of undefined perceptual opportunitiesA light stimuli research will try to deepen into the relation between perceived spaceand daylight, understanding the importance of daylight compositions and the way that stimulates people. A research on how perception plays an important role in energizing spaces. READ MORE
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2. Procedural System for Urban Forest Generation : Image-based Natural Terrain Generation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Procedural content generation is a common way to create model resources in the computer graphics area. It is beneficial for generating large-scale models such as buildings, forests, etc. This project focus on the generation of the urban forest, which is a case often overlooked. READ MORE
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3. Analyzing the Negative Log-Likelihood Loss in Generative Modeling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. READ MORE
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4. This Size is not What I Expected - Tackling the Issue of Size Perceptions in Online Retailing
University essay from Handelshögskolan i Stockholm/Institutionen för företagande och ledningAbstract : The purpose of this study is to explore the use of visual communication in the form of product images as a tool to improve sizing perception for customers in an online retail environment. Online retail is continuously growing, as consumers take advantage of the convenience of online shopping. READ MORE
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5. Noisy recognition of perceptual mid-level features in music
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Self-training with noisy student is a consistency-based semi-supervised self- training method that achieved state-of-the-art accuracy on ImageNet image classification upon its release. It makes use of data noise and model noise when fitting a model to both labelled data and a large amount of artificially labelled data. READ MORE