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Tushar Ganguli and Edwin K. P. Chong
We present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model...
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Diego Sanchez Narvaez, Carlos Villaseñor, Carlos Lopez-Franco and Nancy Arana-Daniel
It is well-known that part of the neural networks capacity is determined by their topology and the employed training process. How a neural network should be designed and how it should be updated every time that new data is acquired, is an issue that rema...
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Jiarun Wu and Qingliang Chen
Massively pre-trained transformer models such as BERT have gained great success in many downstream NLP tasks. However, they are computationally expensive to fine-tune, slow for inference, and have large storage requirements. So, transfer learning with ad...
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Yanhua Shao, Xingping Zhang, Hongyu Chu, Xiaoqiang Zhang, Duo Zhang and Yunbo Rao
Aerial object detection acts a pivotal role in searching and tracking applications. However, the large model, limited memory, and computing power of embedded devices restrict aerial pedestrian detection algorithms? deployment on the UAV (unmanned aerial ...
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Mayire Ibrayim, Ahmatjan Mattohti and Askar Hamdulla
Uyghur text detection and recognition in images with simple backgrounds is still a challenging task for Uyghur image content analysis. In this paper, we propose a new effective Uyghur text detection method based on channel-enhanced MSERs and the CNN clas...
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Shrutika S. Sawant, Marco Wiedmann, Stephan Göb, Nina Holzer, Elmar W. Lang and Theresa Götz
The success of the convolutional neural network (CNN) comes with a tremendous growth of diverse CNN structures, making it hard to deploy on limited-resource platforms. These over-sized models contain a large amount of filters in the convolutional layers,...
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Ling Zheng, Huashan Song, Bijun Li and Hongjuan Zhang
With the development of autonomous driving, lane-level maps have attracted significant attention. Since the lane-level road network is an important part of the lane-level map, the efficient, low-cost, and automatic generation of lane-level road networks ...
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Ives Renê Venturini Pola, Fernanda Paula Barbosa Pola and Danilo Medeiros Eler
Many modern applications deal with complex data, where retrieval by similarity plays an important role. Complex data main comparison mechanisms are based on similarity predicates. They are usually immersed in metric spaces where distance functions are em...
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Ali SEVINÇ, Tamer EREN
Pág. 25 - 42
Globalisation has intensified competition among businesses with the case, prune the entries were encouraged to use efficient. Competitive racing in equal possibilities of businesses operating in the same market, forecast forward now to those who use reso...
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Macarena Villasante, Soledad Godoy, Juan Pablo Zoffoli, Marlene Ayala
Pág. 117 - 126
Annual pruning is one of the most efficient ways to regulate crop load and renew fruiting wood in highly productive sweet cherry (Prunus avium L.) combinations. Although Chilean growers did not previously prune cherry trees of more vigorous combinatio...
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