Essays about: "Dataförbehandling"

Found 3 essays containing the word Dataförbehandling.

  1. 1. CenterPoint-based 3D Object Detection in ONCE Dataset

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

    Author : Yuwei Du; [2022]
    Keywords : 3D Object Detection; Keypoint Detector; Class Balance; Self-Calibrated Convolution; IoU-aware Detector; Box Ensembles; 3D-Objektdetektering; Nyckelpunktsdetektor; Klassbalans; Självkalibrerad Faltning; IoU-medveten Detektor; Boxensembler;

    Abstract : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. READ MORE

  2. 2. Evaluation of Machine Learning Methods for Time Series Forecasting on E-commerce Data

    University essay from KTH/Matematisk statistik

    Author : Peter Abrahamsson; Niklas Ahlqvist; [2022]
    Keywords : Thesis; Time Series; Machine Learning; E-commerce; Demand Forecasting; Multiple Linear Regression; SARIMAX; XGBoost; LSTM; Model Evaluation; Examensarbete; tidsserier; maskininlärning; e-handel; efterfrågeprognoser; multipel linjär regression; SARIMAX; XGBoost; LSTM; modellutvärdering;

    Abstract : Within demand forecasting, and specifically within the field of e-commerce, the provided data often contains erratic behaviours which are difficult to explain. This induces contradictions to the common assumptions within classical approaches for time series analysis. Yet, classical and naive approaches are still commonly used. READ MORE

  3. 3. T-Distributed Stochastic Neighbor Embedding Data Preprocessing Impact on Image Classification using Deep Convolutional Neural Networks

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

    Author : Erik Droh; [2018]
    Keywords : Machine learning; Image classification; t-SNE; Preprocessing; Neural networks; Deep learning; Maskininlärning; Bildklassificering; t-SNE; Dataförbehandling; Neurala nätverk; Djup maskininlärning;

    Abstract : Image classification in Machine Learning encompasses the task of identification of objects in an image. The technique has applications in various areas such as e-commerce, social media and security surveillance. READ MORE