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   Articles with "multi weight" as a keyword



Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm

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recommendations! 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

Spiking frequency adaptability and multi-weight synergy in artificial neuronal modules via bifunctional NbOx memristors.

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recommendations! Published in 2025 at "Nanoscale horizons"

DOI: 10.1039/d5nh00268k

Abstract: To address the limitations of current artificial neurons in neuromorphic hardware implementation, NbOx-based bifunctional memristors are fabricated to construct oscillatory units and advanced neuronal modules. NbOx-based memristors operate as either threshold-switching memristors (TSMs) or dynamic… read more here.

Keywords: multi weight; spiking frequency; weight synergy; neuronal modules ... See more keywords

Brain Image Segmentation Based on Multi-Weight Probability Map

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recommendations! Published in 2019 at "IEEE Access"

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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recommendations! Published in 2022 at "Magnetic resonance imaging"

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