Abstract: Current multi-band SAR feature extraction methods often fail to adequately exploit intra-band details and inter-band spectral relationships, limiting their classification performance. To ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...
Radiomics offers improved assessment of spinal cord pathology in MS, surpassing conventional MRI in precision and sensitivity. A study identified 12 significant radiomic features, with four ...
1 Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China 2 Department of Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, ...
ABSTRACT: Time series anomaly detection is important in fields such as industrial control, but faces challenges such as data distribution drifting over time, diverse normal patterns, and training data ...
If there's one thing you want in a PvP game, it's parity. Fairness. Justice. Ok, maybe justice only rears its head when Batman logs onto Fortnite in his favorite Ariana Grande skin, but generally you ...
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