Few-shot learning is a challenging task that aims to train a classifier with very limited training *** existing few-shot learning methods mainly focus on mining knowledge from limited training samples as much as possi...
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Few-shot learning is a challenging task that aims to train a classifier with very limited training *** existing few-shot learning methods mainly focus on mining knowledge from limited training samples as much as possible and ignore the learning *** by human learning,people select useful knowledge and follow a learning path to enhance their learning *** this *** propose a novel few-shot learning model called dynamic knowledge path learning(DKPL)to guide the few-shot learning task to learn useful selected knowledge with suitable learning ***,we simultaneously consider the importance,direction,and diversity of knowledge and propose a dynamic path learning strategy in the dynamic path construction ***,we design a new learner to absorb knowledge,step by step,according to each class’s learning path in the knowledge path propagation *** far as we know,this is the first few-shot learning work to consider dynamic path learning to improve classification *** and visual case studies demonstrate the effectiveness and superiority of the DKPL model on four real-world image datasets.
Today we can no longer imagine our lives without a vehicle for any means of transportation. They play a very important role in everyone's life. But as their importance in our lives grows, so does the fraud and ant...
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Crime analysis is an important topic that uses cutting-edge machine learning. This study focuses on using machine learning algorithms to examine crime trends and give law enforcement organizations useful information. ...
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Background: Changes on source code may propagate to distant code entities through various relationships, making related changes obligatory. Identifying change impacts is challenging due to the complexity of how change...
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Coronavirus belongs to the family of Coronaviridae. It is responsible for COVID-19 communicable disease, which has affected 213 countries and territories worldwide. Researchers in computational fields have been active...
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Unauthorized or improperly constructed speed breakers on city roads are a major contributor to slow moving traffic and road accidents in developing nations, especially in rapidly urbanizing regions. The existing pract...
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Molecular Dynamics (MD) simulations provide qualitative insights into the dynamics of liquids, solids, and liquid–solid interfaces under varying temperature and pressure conditions. Accurate force calculations for io...
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The detection of gender, age, and ethnicity using machine learning techniques holds significant promise for applications in marketing, healthcare, and law enforcement. Previous methods relied on conventional machine l...
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One of the major aspects for sensing solutions across diverse applications, is the demand associated with better lifetime of sensor nodes. This can be resolved using energy optimization of these nodes in Wireless Sens...
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Mobile Cloud Computing (MCC) is a new paradigm that has been emerged by the advances in the Cloud Computing for Mobile devices to access Cloud services. The data security challenges against the data thefting, deleting...
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