Essays about: "feature extractor"

Showing result 16 - 20 of 27 essays containing the words feature extractor.

1. 16. Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning

   University essay from KTH/Matematisk statistik

   Author : Ivar Eriksson; [2020]
   Keywords : Radiation therapy; automated planning; machine learning; autoencoder; distance optimisation; sparse pseudo-input Gaussian process; kernel density estimation; dose mimicking; dose–volume histogram; Strålbehandling; automatiserad dosplanering; maskininlärning; autoencoder; distansoptimering; glesa Gaussiska processer; sannolikhets-fördelnings-estimering; dosrekonstruktion; dos–volymhistogram;

   Abstract : Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. READ MORE

3. 17. Vehicle Detection, at a Distance : Done Efficiently via Fusion of Short- and Long-Range Images

   University essay from Linköpings universitet/Datorseende

   Author : Emil Luusua; [2020]
   Keywords : ;

   Abstract : Object detection is a classical computer vision task, encountered in many practical applications such as robotics and autonomous driving. The latter involves serious consequences of failure and a multitude of challenging demands, including high computational efficiency and detection accuracy. READ MORE

4. 18. Multi-Task Learning using Road Surface Condition Classification and Road Scene Semantic Segmentation

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Jesper Westell; [2019]
   Keywords : Computer Vision; Deep Learning; Machine Learning; Convolutional Neural Networks; Classification; Semantic Segmentation;

   Abstract : Understanding road surface conditions is an important component in active vehicle safety. Estimations can be achieved through image classification using increasingly popular convolutional neural networks (CNNs). READ MORE

5. 19. Football Shot Detection using Convolutional Neural Networks

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Simeon Jackman; [2019]
   Keywords : Convolution; Neural Network; Football; Action; Detection; MobileNet; Shot; 3D;

   Abstract : In this thesis, three different neural network architectures are investigated to detect the action of a shot within a football game using video data. The first architecture uses con- ventional convolution and pooling layers as feature extraction. It acts as a baseline and gives insight into the challenges faced during shot detection. READ MORE

6. 20. Mobile Object Detection using TensorFlow Lite and Transfer Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Oscar Alsing; [2018]
   Keywords : cnn; convolutional neural networks; transfer learning; mobile object detection;

   Abstract : With the advancement in deep learning in the past few years, we are able to create complex machine learning models for detecting objects in images, regardless of the characteristics of the objects to be detected. This development has enabled engineers to replace existing heuristics-based systems in favour of machine learning models with superior performance. READ MORE