Search for dissertations about: "outlier detection"

Showing result 1 - 5 of 13 swedish dissertations containing the words outlier detection.

  1. 1. Data Modeling for Outlier Detection

    University dissertation from Karlskrona : Blekinge Tekniska Högskola

    Author : Shahrooz Abghari; Blekinge Tekniska Högskola.; [2018]
    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

  2. 2. Urban Change Detection Using Multitemporal SAR Images

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Osama Yousif; KTH.; [2015]
    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

  3. 3. Conformal anomaly detection Detecting abnormal trajectories in surveillance applications

    University dissertation from Skövde : University of Skövde

    Author : Rikard Laxhammar; Högskolan i Skövde.; [2014]
    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

  4. 4. Modelling the offset lithographic printing process

    University dissertation from Göteborg : Chalmers university of technology

    Author : Cristofer Englund; Högskolan i Halmstad.; [2006]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Neural networks; Self-organizing map; Data mining; Outlier detection; Leverages; Committee; Adaptive modelling; TECHNOLOGY Information technology Image analysis; TEKNIKVETENSKAP Informationsteknik Bildanalys;

    Abstract : A concept for data management and adaptive modelling of the offset lithographic printing process is proposed. Artificial neural networks built from historical process data are used to model the offset printing process aiming to develop tools for online ink flow control. READ MORE

  5. 5. On Improving Validity of Deep Neural Networks in Safety Critical Applications

    University dissertation from Gothenburg : Chalmers tekniska högskola

    Author : Jens Henriksson; [2020]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; outlier detection; Safety critical applications; out-of-distribution; deep neural networks;

    Abstract : Context: Deep learning has proven to be a valuable component in object detection and classification, as the technique has shown an increased performance throughput compared to traditional software algorithms. Deep learning refers to the process, in which an optimisation process learns an algorithm through a set of labeled data, where the researcher defines an architecture rather than the algorithm itself. READ MORE