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Serafino Cicerone
Cicerone and Di Stefano defined and studied the class of k-distance-hereditary graphs, i.e., graphs where the distance in each connected induced subgraph is at most k times the distance in the whole graph. The defined graphs represent a generalization of...
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Md. Khaliluzzaman, Md. Abu Bakar Siddiq Sayem, Lutful KaderMisbah
Pág. 357 - 376
Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount of d...
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Md. Khaliluzzaman, Md. Abu Bakar Siddiq Sayem, Lutful KaderMisbah
Pág. 357 - 376
Human Activity Recognition (HAR), a vast area of a computer vision research, has gained standings in recent years due to its applications in various fields. As human activity has diversification in action, interaction, and it embraces a large amount of d...
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Nikita Andriyanov
The problem solved in the article is connected with the increase in the efficiency of phraseological radio exchange message recognition, which sometimes takes place in conditions of increased tension for the pilot. For high-quality recognition, signal pr...
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Anja Fischer, Frank Fischer, Gerold Jäger, Jens Keilwagen, Paul Molitor and Ivo Grosse
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Rubén E. Nogales and Marco E. Benalcázar
Gesture recognition is widely used to express emotions or to communicate with other people or machines. Hand gesture recognition is a problem of great interest to researchers because it is a high-dimensional pattern recognition problem. The high dimensio...
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Xinning Li, Qun He, Qin Yang, Neng Wang, Hu Wu and Xianhai Yang
In order to obtain the optimal perspectives of the recognition target, this paper combines the motion path of the manipulator arm and camera. A path planning method to find the optimal perspectives based on an A* algorithm is proposed. The quality of per...
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???? ??????????? ???????, ?????? ???????? ??????, ??????? ????????? ??????, ????????? ????????? ???????, ??????? ???????? ??????
Pág. 93 - 102
The subject matter of the article is ?V3-117 engine ratings and recognition methods. The goal of the work is to create methods for classification TV3-117 engine ratings based on neural network technologies in real time. The following tasks were solved in...
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Jimin Hwang, Neil Bose, Hung Duc Nguyen and Guy Williams
We introduce an adaptive sampling method that has been developed to support the Backseat Driver control architecture of the Memorial University of Newfoundland (MUN) Explorer autonomous underwater vehicle (AUV). The design is based on an acoustic detecti...
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J Gerard Wolff
This article is an overview of the SP theory of intelligence, which aims to simplify and integrate concepts across artificial intelligence, mainstream computing and human perception and cognition, with information compression as a unifying theme. It is c...
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Pingshan Liu, Qi Liang and Zhangjing Cai
Aiming at addressing the inability of traditional web technologies to effectively respond to Winter-Olympics-related user questions containing multiple intentions, this paper explores a multi-model fusion-based multi-intention recognition model BCNBLMATT...
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Yanxi Zhou, Shikai Zuo, Zhengxian Yang, Jinlong He, Jianwen Shi and Rui Zhang
Document image enhancement methods are often used to improve the accuracy and efficiency of automated document analysis and recognition tasks such as character recognition. These document images could be degraded or damaged for various reasons including ...
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Geneviève Simonet and Anne Berry
The atom graph of a connected graph is a graph whose vertices are the atoms obtained by clique minimal separator decomposition of this graph, and whose edges are the edges of all its atom trees. A graph G is an atom graph if there is a graph whose atom g...
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Fei Liu, Jiayao Shan, Binyu Xiong and Zheng Fang
This paper presents a real-time and multi-sensor-based landing area recognition system for UAVs, which aims to enable UAVs to land safely on open and flat terrain and is suitable for comprehensive unmanned autonomous operation. The landing area recogniti...
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Wanli Yang, Yimin Chen, Chen Huang and Mingke Gao
In recent years, the application of deep neural networks to human behavior recognition has become a hot topic. Although remarkable achievements have been made in the field of image recognition, there are still many problems to be solved in the area of vi...
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Wanli Yang, Yimin Chen, Chen Huang and Mingke Gao
In recent years, the application of deep neural networks to human behavior recognition has become a hot topic. Although remarkable achievements have been made in the field of image recognition, there are still many problems to be solved in the area of vi...
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Yang Zheng, Jieyu Zhao, Yu Chen, Chen Tang and Shushi Yu
With the widespread success of deep learning in the two-dimensional field, how to apply deep learning methods from two-dimensional to three-dimensional field has become a current research hotspot. Among them, the polygon mesh structure in the three-dimen...
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Baoyu Fan, Han Ma, Yue Liu and Xiaochen Yuan
With the growth of data in the real world, datasets often encounter the problem of long-tailed distribution of class sample sizes. In long-tailed image recognition, existing solutions usually adopt a class rebalancing strategy, such as reweighting based ...
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Yilei Wang, Yuelin Hu, Wenliang Xu and Futai Zou
Dark web vendor identification can be seen as an authorship aliasing problem, aiming to determine whether different accounts on different markets belong to the same real-world vendor, in order to locate cybercriminals involved in dark web market transact...
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Ting Guo, Nurmemet Yolwas and Wushour Slamu
Recently, the performance of end-to-end speech recognition has been further improved based on the proposed Conformer framework, which has also been widely used in the field of speech recognition. However, the Conformer model is mostly applied to very wid...
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