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Found 4 swedish dissertations matching the above criteria.

  2. 1. Shape-based Representations and Boosting for Visual Object Class Detection : Models and methods for representaion and detection in single and multiple views

    Author : Oscar Danielsson; Stefan Carlsson; Josephine Sullivan; Bernt Schiele; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Detection of generic visual object classes (i.e. cars, dogs, mugs or people) in images is a task that humans are able to solve with remarkable ease. Unfortunately this has proven a very challenging task for computer vision. READ MORE

  4. 2. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

    Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE

  5. 3. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

    Author : Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; Computer science; Datalogi;

    Abstract : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. READ MORE

  6. 4. Clinical investigation and application of Artificial Intelligence in diagnosis and prognosis of squamous cell carcinoma of the head and neck

    Author : Amir M. Salehi; Karin Nylander; Lena Norberg-Spaak; Wojciech Golusinski; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SCCHN; SCCOT; Recurrence; ML; PET CT; mRNA; transcriptomic; proteomic; Diabetes; AI; Oto-Rhino-Laryngology; oto-rhino-laryngologi;

    Abstract : Background: In Sweden around 1400 people are affected by head and neck cancer each year, and around 400 of these tumours are located in the mobile tongue (SCCOT). A major problem with these tumours is the high degree of relapse. READ MORE