Results 31 to 40 of about 343,225 (391)
Pruning Deep Neural Networks from a Sparsity Perspective [PDF]
In recent years, deep network pruning has attracted significant attention in order to enable the rapid deployment of AI into small devices with computation and memory constraints.
Enmao Diao+5 more
semanticscholar +1 more source
Effect of mechanical pruning on the yield and quality of ‘Fortune’ mandarins
This work compares mechanical pruning followed up by hand pruning versus manual pruning in the case of ‘Fortune’ mandarins. Yield and fruit quality were measured over a three-year period.
Bernardo Martin-Gorriz+2 more
doaj +1 more source
Effect of Pruning Severity and Bud Number Per Cane on Yield and Quality of Grape (Vitis vinifera L.) cv. Rotabi [PDF]
Introduction The Rotabi grape cultivar holds significant importance in the Bavanat region of Fars province. There are two distinct methods of pruning employed for this cultivar: Cane pruning and Spur pruning.
M.J. Karami
doaj +1 more source
Long-Term Evaluation of the Influence of Mechanical Pruning on Olive Growing [PDF]
In Portugal, olive (Olea europaea L.) groves with the traditional tree density of around 100 trees ha -1, necessitate increasing pruning costs every year. As a result farmers tend to lengthen pruning intervals.
Dias, António Bento+2 more
core +1 more source
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning [PDF]
The attention mechanism is becoming increasingly popular in Natural Language Processing (NLP) applications, showing superior performance than convolutional and recurrent architectures.
Hanrui Wang, Zhekai Zhang, Song Han
semanticscholar +1 more source
PRUNE (prune exopolyphosphatase) [PDF]
Short communication on PRUNE, with data on DNA/RNA, on the protein encoded and where the gene is implicated.
openaire +3 more sources
Mechanised winter pruning is increasingly being used to reduce the high costs of manual pruning. Mechanised pruning is non-selective, and for its optimal application, the definition of pruning intensity is necessary to achieve the target yield and grape
Fernando Barcia+2 more
doaj +1 more source
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration [PDF]
Previous works utilized “smaller-norm-less-important” criterion to prune filters with smaller norm values in a convolutional neural network. In this paper, we analyze this norm-based criterion and point out that its effectiveness depends on two ...
Yang He+4 more
semanticscholar +1 more source
Sensing and Automation in Pruning of Apple Trees: A Review
Pruning is one of the most important tree fruit production activities, which is highly dependent on human labor. Skilled labor is in short supply, and the increasing cost of labor is becoming a big issue for the tree fruit industry.
Long He, James Schupp
doaj +1 more source
Pruning-aware Sparse Regularization for Network Pruning
Structural neural network pruning aims to remove the redundant channels in the deep convolutional neural networks (CNNs) by pruning the filters of less importance to the final output accuracy. To reduce the degradation of performance after pruning, many methods utilize the loss with sparse regularization to produce structured sparsity.
Nan-Fei Jiang+5 more
openaire +2 more sources