Sökning: "Automatic labeling"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Automatic labeling.

  1. 1. Blood flow assessment in cerebral arteries with 4D flow magnetic resonance imaging : an automatic atlas-based approach

    Författare :Tora Dunås; Anders Eklund; Anders Wåhlin; Jan Malm; Einar Heiberg; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Circle of Willis; 4D flow MRI; Cerebral arteries; Vascular disease; Stroke; Automatic labeling; Probabilistic atlas; Cerebral blood flow; Neuroimaging; Magnetic Resonance Imaging;

    Sammanfattning : Background: Disturbed blood flow to the brain has been associated with several neurological diseases, from stroke and vascular diseases to Alzheimer’s and cognitive decline. To determine the cerebral arterial blood flow distribution, measurements are needed in both distal and proximal arteries. LÄS MER

  3. 2. Opportunities, Challenges and Solutions for Automatic Labeling of Data Using Machine Learning

    Författare :Teodor Fredriksson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Active Learning; Data Labeling; Software Engineering; Semi-Supervised Learning;

    Sammanfattning : Context: Supervised learning is the most common machine learning paradigm and requires labeled data. Because much data in the industry is unlabeled, data labeling is an essential step in the data preparation process. LÄS MER

  4. 3. Principled Flow Tracking in IoT and Low-Level Applications

    Författare :Iulia Bastys; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; WebAssembly apps; automatic labeling; IoT apps; enforcement granularity; design principles; information-flow control; language-based security;

    Sammanfattning : Significant fractions of our lives are spent digitally, connected to and dependent on Internet-based applications, be it through the Web, mobile, or IoT. All such applications have access to and are entrusted with private user data, such as location, photos, browsing habits, private feed from social networks, or bank details. LÄS MER

  5. 4. On Speech-to-Text Alignment, Phonetic Labeling, and Recursive Signal Processing

    Författare :Åke Andersson; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; phonetic labeling; recursive algorithms; adaptive algorithms; speech-to-text alignment; dynamic programming; time-varying systems; subspace tracking; time-alignment; parameter estimation; time-warping;

    Sammanfattning : Speech data-bases are an important issue in the study of speech communication. In particular, time-aligned and phonetically labeled speech data-bases are useful during the design of applications such as speech recognizers. The time-alignment and labeling of the speech data is traditionally done manually. LÄS MER

  7. 5. Graph-based Methods for Interactive Image Segmentation

    Författare :Filip Malmberg; Ingela Nyström; Ewert Bengtsson; Jayaram K. Udupa; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; Interactive image segmentation; Fuzzy image segmentation; Image foresting transform; Graph labeling; Graph cuts; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : The subject of digital image analysis deals with extracting relevant information from image data, stored in digital form in a computer. A fundamental problem in image analysis is image segmentation, i.e., the identification and separation of relevant objects and structures in an image. LÄS MER