Essays about: "KDE"

Showing result 1 - 5 of 10 essays containing the word KDE.

1. 1. Clustering on groups for human tracking with 3D LiDAR

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Simon Utterström; [2023]
   Keywords : Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

   Abstract : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. READ MORE

3. 2. Sentiment Analysis and Time-series Analysis for the COVID-19 vaccine Tweets

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Gowtham Kumar Sandaka; Bala Namratha Gaekwade; [2021]
   Keywords : COVID-19 vaccine; Sentiment analysis; Time-based analysis; Twitter data; VADER.;

   Abstract : Background: The implicit nature of social media information brings many advantages to realistic sentiment analysis applications. Sentiment Analysis is the process of extracting opinions and emotions from data. As a research topic, sentiment analysis of Twitter data has received much attention in recent years. READ MORE

4. 3. Kernel density estimators as a tool for atmospheric dispersion models

   University essay from Umeå universitet/Institutionen för fysik

   Author : Daniel Egelrud; [2021]
   Keywords : Particle model; LPELLO; kernel density estimation; field of concentration; post-processing;

   Abstract : Lagrangian particle models are useful for modelling pollutants in the atmosphere. They simulate the spread of pollutants by modelling trajectories of individual particles. However, to be useful, these models require a density estimate. The standard method to use has been boxcounting, but kernel density estimator (KDE) is an alternative. READ MORE

5. 4. Probabilistic Regression using Conditional Generative Adversarial Networks

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Joel Oskarsson; [2020]
   Keywords : machine learning; ml; regression; probabilistic; distribution; cgan; gan; conditional gan; adversarial networks; neural network; deep learning; f-gan; f-cgan; f-divergence; adversarial training; bimodal; heteroskedastic; mmd; maximum mean discrepancy; gmmn; generative moment matching network; conditional gmmn; ipm; kde; cgan evaluation; cgan regression; gan regression; cgan-regression; regression using gan; deep; nn; implicit; generative; conditional; model; complex noise; aleatoric; uncertainty; dctd; mdn; heteroskedastic regression; gp;

   Abstract : Regression is a central problem in statistics and machine learning with applications everywhere in science and technology. In probabilistic regression the relationship between a set of features and a real-valued target variable is modelled as a conditional probability distribution. READ MORE

6. 5. The Missing People of Malthi : A kernel density analysis based on Middle Helladic Ceramics

   University essay from Uppsala universitet/Institutionen för arkeologi och antik historia

   Author : Anna Sunneborn Gudnadottir; [2019]
   Keywords : GIS; KDE; Bronze Age Greece; Middle Helladic; Malthi; household archaeology; Formation processes; Messenia;

   Abstract : This study aims to identify human interference and tendencies in the Bronze Age settlement of Malthi, Greece. It has employed a spatial analysis, a Kernel Density Estimate, to locate areas of anthropic interference and evaluate if the initial excavation report, despite its flaws, can be used in newer research. READ MORE