Search for dissertations about: "classifier"

Showing result 1 - 5 of 113 swedish dissertations containing the word classifier.

  2. 1. Decision Algebra : A General Approach to Learning and Using Classifiers

    Author : Antonina Danylenko; Welf Löwe; Jonas Lundberg; Uwe Assmann; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; classification; decision model; classifier; Decision Algebra; decision function; Computer Science; Datavetenskap;

    Abstract : Processing decision information is a vital part of Computer Science fields in which pattern recognition problems arise. Decision information can be generalized as alternative decisions (or classes), attributes and attribute values, which are the basis for classification. READ MORE

  4. 2. On the Metric-based Approach to Supervised Concept Learning

    Author : Niklas Lavesson; Sweden Karlskrona Blekinge Institute of Technology School of Engineering Department of Systems and Software Engineering; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; classifier evaluation; supervised learning; metric; criteria;

    Abstract : A classifier is a piece of software that is able to categorize objects for which the class is unknown. The task of automatically generating classifiers by generalizing from examples is an important problem in many practical applications. This problem is often referred to as supervised concept learning, and has been shown to be relevant in e.g. READ MORE

  5. 3. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits

    Author : Philip Tully; Anders Lansner; Matthias Hennig; Gordon Pipa; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayes rule; synaptic plasticity and memory modeling; intrinsic excitability; naïve Bayes classifier; spiking neural networks; Hebbian learning; neuromorphic engineering; reinforcement learning; temporal sequence learning; attractor network; Computer Science; Datalogi;

    Abstract : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. READ MORE

  6. 4. Change Detection Using Multitemporal SAR Images

    Author : Osama Yousif; Yifang Ban; Lorenzo Bruzzones; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Change detection; ENVISAT ASAR; ERS-2 SAR; image denoising; Kittler-Illingworth algorithm; MAP-MRF classifier; modified ratio; multitemporal SAR images; nonlocal means NLM ; SAR speckle; urbanization;

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

  7. 5. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection

    Author : Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby; Alejandro F. Frangi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; automatic skeleton extraction; vascular segmentation; coverage segmentation; convolutional neural network classifier; CT angiography; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. READ MORE