Sökning: "Binarization"

Visar resultat 1 - 5 av 21 uppsatser innehållade ordet Binarization.

  1. 1. Inferring Gene regulatory networks using Graph Neural Networks

    Master-uppsats, KTH/Genteknologi

    Författare :Sohta Makino; [2023]
    Nyckelord :Graph Attention Network; Gene regulatory Network; Transcription; Data Science; Machine learning; Genreglering; transkription; dataanalys; Inferens; maskininlärning;

    Sammanfattning : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. LÄS MER

  3. 2. Automatic Handwritten Text Detection and Classification

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Olle Dahlstedt; [2021]
    Nyckelord :;

    Sammanfattning : As more and more organizations digitize their records, the need for automatic document processing software increases. In particular, the rise of ‘digital humanities’ precede a new set of problems on how to digitize historical archival material in an efficient and accurate manner. LÄS MER

  4. 3. Optimisation of card recognition routine

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Emil Bagge; [2020]
    Nyckelord :;

    Sammanfattning : Card-dealing machines for the game Bridge are used to automate the time-consuming process of sorting cards. They require methods to recognize each card's suit and value during the process, as the sorting is predetermined. The machine considered in      this thesis uses a webcam that feeds a 30 FPS video stream to a contour analysis algorithm. LÄS MER

  5. 4. Handwritten Document Binarization Using Deep Convolutional Features with Support Vector Machine Classifier

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Guojun Lai; Bing Li; [2020]
    Nyckelord :Computing methodologies; Machine learning; Handwritten Document Binarization; Convolutional Neural Network; Support Vector Machine;

    Sammanfattning : Background. Since historical handwritten documents have played important roles in promoting the development of human civilization, many of them have been preserved through digital versions for more scientific researches. However, various degradations always exist in these documents, which could interfere in normal reading. LÄS MER

  7. 5. Gaussian Process Multiclass Classification : Evaluation of Binarization Techniques and Likelihood Functions

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för matematik (MA)

    Författare :Benjamin Ringdahl; [2019]
    Nyckelord :Machine learning; Gaussian process classification; Laplace s approximation; Likelihood functions; Binarization techniques; Class imbalance;

    Sammanfattning : In binary Gaussian process classification the prior class membership probabilities are obtained by transforming a Gaussian process to the unit interval, typically either with the logistic likelihood function or the cumulative Gaussian likelihood function. Multiclass classification problems can be handled by any binary classifier by means of so-called binarization techniques, which reduces the multiclass problem into a number of binary problems. LÄS MER