Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.083
Abstract: Abstract The recently proposed multi-weight vector projection support vector machine (EMVSVM) is an excellent multi-projections classifier. However, the formulation of MVSVM is based on the L2-norm criterion, which makes it prone to be affected by… read more here.
Keywords: vector; multi; algorithm; norm ... See more keywords
Brain Image Segmentation Based on Multi-Weight Probability Map
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DOI: 10.1109/access.2019.2893275
Abstract: Due to the complexity of the brain image itself, the brain image segmentation technology has become a bottle for further application and development of the system. Considering the inconsistency of intensity, partial volume effect, and… read more here.
Keywords: image segmentation; brain image; probability; multi weight ... See more keywords
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging
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DOI: 10.48550/arxiv.2204.01979
Abstract: Parallel imaging is widely used in magnetic resonance imaging as an acceleration technology. Traditional linear reconstruction methods in parallel imaging often suffer from noise amplification. Recently, a non-linear robust artificial-neural-network for k-space interpolation (RAKI) exhibits… read more here.
Keywords: parallel imaging; multi weight; respecification scan; raki ... See more keywords