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Data Discovery Using Lossless Compression-Based Sparse Representation
Sparse representation has been widely used in data compression, signal and image denoising, dimensionality reduction and computer vision.
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network
In recent years portable medical imaging devices such as capsule endoscopy and digital dermatoscope have been introduced and made the diagnosis procedure easier and more efficient.
Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method
Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition.
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