By caching and transcoding video files on edge servers, video edge caching (VEC) can alleviate network congestion and improve user experience. To achieve this, VEC needs to address resource allocation and pricing prob...
详细信息
With the global population aging, the need to ensure the health and safety of elderly individuals living alone has become a pressing societal issue. This paper introduces an activity sensing system utilizing millimete...
详细信息
Agriculture plays a significant role in India's economy, not only in terms of its GDP share but also in employment, rural development, and food security. As per the 2022-2023 economic survey, the gross value added...
详细信息
Given the high annotation costs and ethical considerations associated with medical images, leveraging a limited number of annotated samples for Few-Shot Medical Image Segmentation (FSMIS) has become increasingly preva...
详细信息
We introduce a novel BiMoeFormer based on the Transformer architecture for 3D human motion prediction. Previous approaches primarily focus on the relationships between body joints in human poses, while neglecting thei...
详细信息
Detecting and identifying faults is essential for protection systems to minimize downtime and prevent cascading failures. This work proposes a real-Time deep learning-based fault diagnosis framework to detect the faul...
详细信息
Recent advancements in AI and ML have brought on substantial strides in predicting and identifying health emergencies, disease populations, and disease state and immune response, amongst a few. AI and ML models are in...
详细信息
The objective of content-based image retrieval (CBIR) is to locate and retrieve similar images from the large-scale dataset for a given query image. A conventional CBIR system involves feature extraction, similarity m...
详细信息
Moving target detection is one of the most basic tasks in computer *** conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)*** utilizes f...
详细信息
Moving target detection is one of the most basic tasks in computer *** conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)*** utilizes foreground information to facilitate background *** uses noise-based weights to fine-tune the *** both noise and foreground information contribute to the recovery of the *** jointly exploit their advantages,inspired by two framework complementary characteristics,we propose to simultaneously exploit the advantages of these two optimizing approaches in a unified framework called Joint Matrix Decomposition and Factorization(JMDF).To improve background extraction,a fuzzy factorization is *** fuzzy membership of the background/foreground association is calculated during the factorization process to distinguish their contributions of both to background *** describe the spatio-temporal continuity of foreground more accurately,we propose to incorporate the first order temporal difference into the group sparsity constraint *** temporal constraint is adjusted *** foreground and the background are jointly estimated through an effective alternate optimization process,and the noise can be modeled with the specific probability *** experimental results of vast real videos illustrate the effectiveness of our *** with the current state-of-the-art technology,our method can usually form the clearer background and extract the more accurate ***-noise experiments show the noise robustness of our method.
Code search aims to retrieve relevant code snippets from large code repositories based on query, promoting code reuse and enhancing software development efficiency. Deep Learning is a powerful approach for code search...
详细信息
暂无评论