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MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
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GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Training 1-bit deep convolutional neural networks (DCNNs) is one of the ...
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Aggregation Signature for Small Object Tracking
Small object tracking becomes an increasingly important task, which howe...
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Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
The rapidly decreasing computation and memory cost has recently driven t...
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RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs
Binarized convolutional neural networks (BCNNs) are widely used to impro...
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Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
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Proof of Mining in Blockchain Systems
We propose a proof of mining system. Roughly speaking, in this system th...
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Subadditive stake systems
Stake systems which issue stakes as well as coins are proposed. Two suba...
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Subadditive threshold in proof of stake system
Two subadditive threshold are proposed for proof stake systems: one is r...
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Proof of subadditive stake in block-chain cash system
The proof of radical stake system as well as the proof of logarithmic st...
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Proof of logarithmic stake in block-chain cash system
A proof of balance plus transaction fees block-chain cash system as well...
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Proof of spending in block-chain systems
We introduce proof of spending in a block-chain system. In this system t...
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