Browsing by Subject "Feature selection"

Browsing by Subject "Feature selection"

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  • Vinoharan, Veerapathirapillai; Ramanan, A. (ELCVIA, 16-12-21)
    The Bag-of-features (BoF) approach has proved to yield better performance in a patch- based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as ...
  • Sobana, S.; Yogarajah, B. (Faculty of Applied Science, 2021-09-15)
    Machine learning is currently the most commonly used branch of computer science, and it can guide better decisions and intelligent actions for high-value predictions in real-time. Researchers can use machine learning model ...
  • Kokul, T. (Postgraduate Institute of Science, University of Peradeniya, 06-10-15)
    Support vector machine (SVM) is an efficient classification technique which is widely used in many machine learning applications due to the property of outperforming other classifiers in its generalization performance. ...