Sökning: "Image Recognising"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Image Recognising.
1. Transfer Learning for Image Processing Applications
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Att träna neurala nätverk tar mycket tid och kan kräva extrema mängder data. Både träningstiden och mängden data som behövs kan minskas med transfer learning. I detta examensarbete studeras effekterna av transfer learning när ett neurala nätverk tränas på en liten datamängd. LÄS MER
2. Is Green brand image the saviour of consumers' well-being? : An exploration on how consumers' subjective well-being can be influenced by green brand image.
Kandidat-uppsats, Linnéuniversitetet/Institutionen för marknadsföring och turismvetenskap (MTS)Sammanfattning : Background: Subjective-well being is an increasingly important concept within consumer research. Previous studies have thus far shown the capability of brand image and other types of image to influence separate components of subjective well-being, mainly life satisfaction, positive and negative affect. LÄS MER
3. The Atlas of Two Women: A Methodological Exploration for Seeing and Interpreting the Symptomatic Visual Motif
Master-uppsats, Lunds universitet/Avdelningen för konsthistoria och visuella studierSammanfattning : This thesis explores the under-recognised yet symptomatic visual motif of two women, a recurring theme within a vast array of pictorial examples. Its primary objective is to construct a theoretical and methodological framework capable of comprehending the multiplicity of images in the form of an image collection: The Atlas of Two Women. LÄS MER
4. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. LÄS MER
5. Improving Hashtag Recommendation for Instagram Images by Considering Hashtag Relativity and Sentiment.
Master-uppsats, Högskolan Dalarna/MikrodataanalysSammanfattning : Extracting knowledge from user-generated content (UGC) in social media platforms is a very hot research topic in the area of machine learning, nonetheless, the main challenge resides in the fact that UGC carries inference, abstraction and subjectivity alongside objectivity. With the aim of recognising the importance of subjectivity as an influential aspect for providing humanoid results from a machine learning algorithm, this study proposes a novel approach to improve Instagram hashtag recommendation by considering sentiment that can be expressed for images. LÄS MER