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Histogram of Low-Level Visual Features for Salient Feature Extraction
Arabian Journal for Science and Engineering, 2022Rubab Mehboob +3 more
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Quadratic-chi similarity metric learning for histogram feature
The First Asian Conference on Pattern Recognition, 2011Histogram features, such as SIFT, HOG, LBP et al, are widely used in modern computer vision algorithms. According to [18], chi-square distance is an effective measure for comparing histogram features. In this paper, we propose a new method, named the Quadric-chi similarity metric learning (QCSML) for histogram features.
null Xinyuan Cai +3 more
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Fermat theorem and elliptic color histogram features
2003Color histograms are widely used for content-based image retrieval. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, a histogram is a coarse characterization of an image, and so images with very different appearances can have similar histograms.
Cinque L. +3 more
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Histogram Features Extraction for Edge Detection Approach
2022 5th International Conference on Engineering Technology and its Applications (IICETA), 2022Fallah H. Najjar +5 more
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Histogram-Based Feature Selection for Binary Classification
This paper presents a novel method for feature selection in binary classification tasks based on histogram-based scoring. By leveraging the distribution differences between feature values associated with positive and negative classes, we generate a score to determine the most informative features.Delil, Selman +2 more
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Relative gradient histogram features for face recognition
Optics and Precision Engineering, 2014杨利平 YANG Li-ping +1 more
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Gastroenteropancreatic Neuroendocrine Tumors
Ca-A Cancer Journal for Clinicians, 2018Mauro Cives
exaly
Patient adherence and persistence with oral anticancer treatment
Ca-A Cancer Journal for Clinicians, 2009Kathryn J Ruddy, Ann H Partridge
exaly

