At present, most of the existing methods combine the data from different views mechanically to obtain the latent subspace with complementary information, which not only fails to make full use of the data information f...
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ISBN:
(数字)9798331519254
ISBN:
(纸本)9798331519261
At present, most of the existing methods combine the data from different views mechanically to obtain the latent subspace with complementary information, which not only fails to make full use of the data information from specific perspectives but also brings redundancy. Therefore, we propose a novel multi-view subspace clustering method. It utilizes cycle projection to obtain a subspace construction model. At the same time, by learning the global structure and local manifold structure of this subspace while assigning learnable weights to different views, the consensus information among views and specific information from different views are captured according to the importance of different views. In this way, our method effectively reduces the original noise and redundancy, and further carries out the improvement of complementarity and consistency among views. The proposed method is optimized by using the Augmented Lagrangian Multiplier with Alternating Direction Minimization (ALM- ADM) algorithm. Experiment results on benchmark datasets confirm the effectiveness of our method.
In view of the rapid development of process mining, the rapid update of related algorithms, and the urgent need to sort out a reasonable classification method, the research on the current status of process mining algo...
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Aiming at the requirements of space systemsimulation test-bed in heterogeneous integration and co-simulation, the support capability of test-bed integration framework is analysed. A space systemsimulation test-bed i...
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The space-ground integrated network is one of the important information infrastructures of the country in the future. In order to further promote its visualization research, the structural characteristics of the space...
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In the context of diversified types of weapon and equipment and massive data quantification, how to model and store, manage and apply the data of various types of weapon and equipment is a problem that needs to be sol...
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Nowadays, modern warfare has changed from weapon-centric operations to network-centric system operations, which has led to the phenomenon of sea-level quantification of weaponry. It is an important research topic for ...
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With the improvement of computer computing power, the shortcomings of the computational inefficiency of the genetic mining algorithm are compensated, and the genetic mining become a research hotspot. In this paper, fo...
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With the surge of emergency task demand, large-scale Earth observation satellite emergency scheduling has become a practical problem which is urgent to be solved. In view of this situation, this paper analyzes the con...
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With the continuous development of radar jamming methods and styles, radar systems are facing more and more complex electromagnetic environment, resulting in limited suppression performance through spatial anti-jammin...
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To offer the military personnel a good service of assisting them to get information about enemy's equipment outside Internet, we build a system named MilChat which includes a large language model that has the abil...
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ISBN:
(数字)9798350354973
ISBN:
(纸本)9798350354980
To offer the military personnel a good service of assisting them to get information about enemy's equipment outside Internet, we build a system named MilChat which includes a large language model that has the ability to generate texts and an application which is easy to use. The model of MilChat is fine-tuned by the method of LoRA with military datasets from the basic model, Qwen-7B-Chat which is opensource and has good performance. After fine-tuning, the new model has higher scores than the basic one. Besides, we use the method of Prompt Learning to limit the answers into a standard format. Therefore, it is more accurate and professional than the basic model. This study has also a value of industrial application.
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