Search for dissertations about: "AdaBoost"

Found 4 swedish dissertations containing the word AdaBoost.

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

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Oscar Danielsson; Stefan Carlsson; Josephine Sullivan; Bernt Schiele; [2011]
    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

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

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Yixiao Yun; [2013]
    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

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

    University dissertation from Linköping University, Department of Computer and Information Science

    Author : Ulf Johansson; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; rule extraction; ensembles; data mining; genetic programming; artificial neural networks;

    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

  4. 4. Obtaining Accurate and Comprehensible Data Mining Models An Evolutionary Approach

    University dissertation from Institutionen för datavetenskap

    Author : Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; [2007]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; TECHNOLOGY Information technology Computer science Computer science; TEKNIKVETENSKAP Informationsteknik Datavetenskap 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