Search for dissertations about: "Outlier detection"

Showing result 1 - 5 of 18 swedish dissertations containing the words Outlier detection.

  2. 1. Data Modeling for Outlier Detection

    Author : Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Anders Holst; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; data modeling; cluster analysis; stream data; outlier detection;

    Abstract : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. READ MORE

  4. 2. Data Mining Approaches for Outlier Detection Analysis

    Author : Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Olga Fink; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; outlier detection; data modelling; machine learning; clustering analysis; data stream mining; Computer Science; Datavetenskap;

    Abstract : Outlier detection is studied and applied in many domains. Outliers arise due to different reasons such as fraudulent activities, structural defects, health problems, and mechanical issues. The detection of outliers is a challenging task that can reveal system faults, fraud, and save people's lives. READ MORE

  5. 3. Urban Change Detection Using Multitemporal SAR Images

    Author : Osama Yousif; Yifang Ban; Lorenzo Bruzzone; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Change detection; High resolution; Image denoising; Kittler-Illingworth; MAP-MRF; Multitemporal SAR images; Nonlocal means; Object-based; Otsu; Outlier detection; Remote sensing; SAR speckle; Urban; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Abstract : Multitemporal SAR images have been increasingly used for the detection of different types of environmental changes. The detection of urban changes using SAR images is complicated due to the complex mixture of the urban environment and the special characteristics of SAR images, for example, the existence of speckle. READ MORE

  6. 4. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications

    Author : Rikard Laxhammar; Göran Falkman; Pontus Svenson; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; conformal prediction; trajectory analysis; video surveillance; maritime surveillance; Technology; Teknik; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. READ MORE

  7. 5. Outlier Detection as a Safety Measure for Safety Critical Deep Learning

    Author : Jens Henriksson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; outlier detection.; out-of-distribution; automotive perception;

    Abstract : Context: Deep learning (DL) has proven to be a valuable component in object detection and semantic segmentation tasks, as the techniques have shown significant performance gains compared to hand-made image processing algorithms. DL refers to an optimization process where a model learns properties and parameters itself through in iterative process running on labeled data. READ MORE