Results 271 to 280 of about 1,444,731 (307)

Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram. [PDF]

open access: yesGenome Med
Sieliwonczyk E   +17 more
europepmc   +1 more source

RESNET50 AUGMENTED IMAGE FEATURE EXTRACTION AND TRANSFER LEARNING FOR EARLY DIAGNOSIS OFFUSARIUM HEAD BLIGHT DISEASE IN WHEAT

open access: diamond
Subhasish Mohapatra   +4 more
openalex   +1 more source

Feature Extraction

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

Systematic Feature Extraction

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
openaire   +2 more sources

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