Essays about: "network inference"

Showing result 21 - 25 of 134 essays containing the words network inference.

1. 21. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders

   University essay from Högskolan i Skövde/Institutionen för biovetenskap

   Author : Utz Lovis Rieger; [2023]
   Keywords : ;

   Abstract : In this work we present a novel method to extract potential hub genes, transcription factors and regions with densely interconnected protein-protein-interaction networks from RNAseq data. To achieve this we deploy variational autoencoders, a generative machine learning framework, and extract the gene-wise reconstruction errors. READ MORE

3. 22. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   University essay from Lunds universitet/Matematik LTH

   Author : Björn Elwin; Anton Fredriksson; [2023]
   Keywords : Mathematics and Statistics;

   Abstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE

4. 23. Multi-Resolution Inference of Bathymetry From Sidescan Sonar

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

   Author : Zhengjie Ji; [2023]
   Keywords : ;

   Abstract : How to obtain complete and high-resolution bathymetry is an important research topic in the underwater domain. However, existing methods have certain shortcomings. Multibeam echosounder (MBES) can produce narrow beam range readings of the seafloor, but there is an interval between every two beams (between 10cm to 10m), and the resolution is low. READ MORE

5. 24. A Bidirectional ApproachApplied on Deeper and WiderSiamese Network

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Tobias Arnehall Johansson; [2023]
   Keywords : ;

   Abstract : Object tracking and object detection are two components within computer vision that have been widely improved during the last decade, in terms of precision and speed. This is mainly because deep learning has been incorporatedinto the algorithms, but also because new techniques and insights within the area are frequently released. READ MORE

6. 25. Anchor-free object detection in surveillance applications

   University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Author : Peter Magnusson; [2023]
   Keywords : computer vision; object detection; detector models; artificial neural networks; deep learning; detection precision; inference efficiency; surveillance applications; anchor-free detection; convolutional neural network; machine learning;

   Abstract : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. READ MORE