Essays about: "natural image statistics"

Showing result 1 - 5 of 10 essays containing the words natural image statistics.

  1. 1. Predictive maintenance using NLP and clustering support messages

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Ugur Yilmaz; [2022]
    Keywords : Predictive maintenance; support messages; NLP; unsupervised clustering; intent recognition; LDA; UMAP; HDBSCAN; BERT; Swedish BERT KB-BERT ; Billogram;

    Abstract : Communication with customers is a major part of customer experience as well as a great source of data mining. More businesses are engaging with consumers via text messages. Before 2020, 39% of businesses already use some form of text messaging to communicate with their consumers. Many more were expected to adopt the technology after 2020[1]. READ MORE

  3. 2. Road Segmentation and Optimal Route Prediction using Deep Neural Networks and Graphs

    University essay from KTH/Matematik (Avd.)

    Author : Viktor Ossmark; [2021]
    Keywords : statistics; applied mathematics; machine learning; computer vision; deep learning; satellite data; remote sensing; image segmentation; optimal routing; deep neural networks; graphs; AI; statistik; tillämpad matematik; maskininlärning; djup inlärning; datorseende; satellitdata; bildsegmentering; optimala rutter; grafer; AI;

    Abstract : Observing the earth from above is a great way of understanding our world better. From space, many complex patterns and relationships on the ground can be identified through high-quality satellite data. READ MORE

  4. 3. Do you care, men? Examining the factors that influence men’s attitude towards natural personal care products in Germany and attitude’s impact on purchase intention.

    University essay from Jönköping University/IHH, Företagsekonomi

    Author : Isabel Ambaum; Zeynep Demir; [2020]
    Keywords : Natural personal care products; male consumers; German market; attitude; purchase intention;

    Abstract : The growing consciousness of consumers towards buying products that contain mainly natural ingredients and do not harm the health and the environment drives the growth of the natural personal care market. Additionally, men nowadays care more about their image and self-presentation which lead to an increase of the natural personal care products offered for men. READ MORE

  5. 4. Conditional Noise-Contrastive Estimation : With Application to Natural Image Statistics

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Ciwan Ceylan; [2017]
    Keywords : noise-contrastive estimation; NCE; unnormalised models; statistical estimation; natural image statistics; unsupervised learning; neural network;

    Abstract : Unnormalised parametric models are an important class of probabilistic models which are difficult to estimate. The models are important since they occur in many different areas of application, e.g. in modelling of natural images, natural language and associative memory. READ MORE

  6. 5. Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Johan Isaksson; [2016]
    Keywords : segmentation; semantic segmentation; dense semantic segmentation; multiple classes; pathology; digital pathology; histopathology; histopathological; prostate cancer; gleason; gleason grading; gleason scoring; image analysis; machine learning; deep learning; artificial neural networks; ANN; convolutional neural networks; CNN; fully convolutional neural networks; Digital Pathology for Optimized Gleason Score in Prostate Cancer; DOGS; Mathematics and Statistics; Medicine and Health Sciences;

    Abstract : In order to alleviate the financial burden on the healthcare sector as well as relax its employees’ workload, there is a need to introduce novel tools that automate some of the tasks that today are performed manually. Especially pathology poses a problem with few pathologists, demanding manual labour and unnecessary work on benign tissue. READ MORE