However, neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources. To address this limitation, we propose a new method called "deep compression", which including three stages: pruning, quantification and ...
As shown in the figure, RayBNN performs much better than MLP due to having neural connection pruning and deleting redundant neurons. Figure 5c shows the performances of the algorithms on an individual subject basis. The Xdawn algorithm performs better for some subjects than the Deep4Net. ...
For the latter, though there are five widely-used technologies, like weights sharing, weights pruning, quantification, knowledge distillation, and low-rank decomposition, pruning is the most widely used due to its simplicity and efficiency. The idea of pruning is to remove the less important ...
[32] introduced a pruning and fine-tuning algorithm and a migration learning algorithm based on YOLOv6 to enhance the precision and speed of the detection model. However, the method is less effective in fusing objects and backgrounds and is challenging to identify. In 2023, Wang and co-...
Protein identification and quantification Raw data files from the Orbitrap Fusion were processed using Proteome Discover (version 2.1). Collected MS/ MS spectra were searched against the UniProt mouse proteome database (54,489 total sequences). SEQUEST parameters were specified as: trypsin enzyme, ...
It drives a series of well-orchestral angiopoietic events including proliferation and migration of endothelial cell, vessel sprouting, pruning and anastomosis by binding to VEGF receptors [38]. It has been reported that COX2 participates in VEGF-induced angiogenesis through activation of MAPK signaling...
potentially introduces confusing information due to the intensive use of dependencies, so the dependency types are embedded and encoded into the node features in the GCN network design, which comes to the effect of dynamically learning the dependency connections and intelligently pruning the dependencies...
The lighter the better: Rethinking transformers in medical image segmentation through adaptive pruning IEEE Trans. Med. Imaging, 42 (2023), pp. 2325-2337 CrossrefView in ScopusGoogle Scholar [36] Kim T.K. T test as a parametric statistic Korean J. Anesthesiol., 68 (2015), p. 540 Cross...
as indicators of cell development and health1,2,3. However, these discrete attributes are often agnostic to their broader biological context. For example, healthy neurite pruning and fasciculation often translate to reduced neurite area and length. Therefore, an incorrect impression of neuron viability...
Efforts to search for slimmer architecture and sparse networks given a full model demonstrated that sparse models can decrease storage requirements and improve computational performance16,17,18. However, finding such a sparse model may be challenging, since the typical training–pruning–retraining cycle...