Slims - Open Access .click

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Conventional network pruning methods on convolutional neural networks (CNNs) reduce the number of input or output channels of convolution layers. With these approaches, the channels in the plain network can be pruned without any restrictions. However, in the case of the ResNet based networks which have shortcuts (skip connections), the channel slimming
Donggyu Joo, Doyeon Kim, Junmo Kim
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SLIM revisited

IEEE Transactions on Medical Imaging, 1993
SLIM (spectroscopic localization by imaging), a tool for in vivo magnetic resonance spectroscopy that provides compartmental spectra from relatively few phase-encoded data, is limited by the inhomogeneities within each compartment. It is shown that the SLIM-derived spectra approach the average compartmental spectra as the number of phase encoded data ...
X, Hu, Z, Wu
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SLIM

Proceedings of the Second Asia-Pacific Workshop on Systems, 2011
In the era of cloud computing, mobile applications often need to leverage a new storage hierarchy that includes not only the traditional main memory and secondary storage on devices, but also storage and computation capabilities from the cloud. In this paper we propose a new data structure library called SLIM. SLIM provides familiar STL-like interfaces
Jinghao Shi +4 more
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humans
obesity
short linear motifs

medicine
library management
short linear motif

7. clean energy
weight loss
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