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Clinical Profile Identification of Indigenous Infants With Bronchiolitis Through Using Unsupervised Feature Extraction and Clustering. [PDF]
Pediatr PulmonolNiu H +4 more
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An Improved Two-Step Strategy for Accurate Feature Extraction in Weak-Texture Environments. [PDF]
Sensors (Basel)Lv Q +6 more
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Tri-visualization feature extraction for light field angular super-resolution. [PDF]
Sci RepElkady E, Salem A, Kang HS, Suh JW.
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Cotton leaf disease detection model focusing on small targets and comprehensive feature extraction. [PDF]
Sci RepAbudukelimu H +6 more
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An Improved Capsule Network for Image Classification Using Multi-Scale Feature Extraction. [PDF]
J ImagingHuang W, Kang R, Li L, Feng W.
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Local Feature Extraction—What Receptive Field Size Should Be Used?
, 2009 Rita Kovordányi +2 more
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2016
Most original work on feature extraction has its root in classical 2D image processing (Sec.1) and mainly focuses on edge detection and the localization of interest points and regions. In practice, extracting these features corresponds to segment the image and to analyze its content.
S Biasotti +3 more
+6 more sources
Most original work on feature extraction has its root in classical 2D image processing (Sec.1) and mainly focuses on edge detection and the localization of interest points and regions. In practice, extracting these features corresponds to segment the image and to analyze its content.
S Biasotti +3 more
+6 more sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
A systematic feature extraction procedure is proposed. It is based on successive extractions of features. At each stage a dimensionality reduction is made and a new feature is extracted. A specific example is given using the Gaussian minus-log-likelihood ratio as a basis for the extracted features.
K A, Brakke, J M, Mantock, K, Fukunaga
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A systematic feature extraction procedure is proposed. It is based on successive extractions of features. At each stage a dimensionality reduction is made and a new feature is extracted. A specific example is given using the Gaussian minus-log-likelihood ratio as a basis for the extracted features.
K A, Brakke, J M, Mantock, K, Fukunaga
openaire +2 more sources