Results 31 to 40 of about 114,287 (303)
Jurnal Ilmu Pertanian Indonesia, 2020 The research to improve the growth, production, and seed quality of Jack Bean (Canavalia ensiformis L.) through pruning, which was carried out from May to October 2016 in Purwasari Village, Dramaga, Bogor Regency and continued by seed testing at the Seed
Abdulah Sarijan +3 more
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PRUNE (prune exopolyphosphatase) [PDF]
Atlas of Genetics and Cytogenetics in Oncology and Haematology, 2014 Short communication on PRUNE, with data on DNA/RNA, on the protein encoded and where the gene is implicated.
openaire +2 more sources
Light syntactically-based index pruning for information retrieval [PDF]
, 2007 Most index pruning techniques eliminate terms from an index on the basis of the contribution of those terms to the content of the documents. We present a novel syntactically-based index pruning technique, which uses exclusively shallow syntactic evidence
Ounis, I. +3 more
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OENO One, 2015 Aim: Light pruning may improve vine yield and quality although vineyard responses are variable. We assessed the effects of traditional manual pruning and mechanical light pruning on the viticultural and oenological performance of Vitis vinifera cv. Bobal
Pedro Pérez-Bermúdez +6 more
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IEEE Access, 2023 In the past decade, Convolutional Neural Networks (CNNs) have achieved tremendous success in solving complex classification problems. CNN architectures require an excessive number of computations to achieve high accuracy.
Zahra Waheed +4 more
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Pruning-aware Sparse Regularization for Network Pruning
Machine Intelligence Research, 2023 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.
Nanfei Jiang +5 more
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PME: pruning-based multi-size embedding for recommender systems
Frontiers in Big Data, 2023 Embedding is widely used in recommendation models to learn feature representations. However, the traditional embedding technique that assigns a fixed size to all categorical features may be suboptimal due to the following reasons.
Zirui Liu +5 more
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Investigating the Potential of Network Optimization for a Constrained Object Detection Problem
Journal of Imaging, 2021 Object detection models are usually trained and evaluated on highly complicated, challenging academic datasets, which results in deep networks requiring lots of computations. However, a lot of operational use-cases consist of more constrained situations:
Tanguy Ophoff +3 more
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Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration [PDF]
Computer Vision and Pattern Recognition, 2018 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
Effect of different winter pruning systems on grapes produced
Journal of Agricultural Engineering, 2013 The purpose of these trials was to evaluate possible effects on properties of grapes, particularly the physical and mechanical features, depending on the winter pruning system.
Claudio Caprara, Fabio Pezzi
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