Results 21 to 30 of about 6,920,287 (312)
Cross Domain Adaptation of Crowd Counting with Model-Agnostic Meta-Learning
Applied Sciences, 2021 Counting people in crowd scenarios is extensively conducted in drone inspections, video surveillance, and public safety applications. Today, crowd count algorithms with supervised learning have improved significantly, but with a reliance on a large ...
Xiaoyu Hou +3 more
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CoRR, 2023 We examine the current state of the cross-domain world, with particular focus on the protocols being used/planned for use by multi-domain users. We build on existing frameworks for analyzing how MEV is extracted, while also adding a new categorization of intrinsic-extractable value vs.
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Applied Sciences, 2023 Nowadays, time-domain features see wide use in speech enhancement (SE) networks such as frequency-domain features to achieve excellent performance in eliminating noise from input utterances.
Yan-Tong Chen +2 more
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Cross-Domain Web Image Annotation [PDF]
2009 IEEE International Conference on Data Mining Workshops, 2009 In recent years, cross-domain learning algorithms have attracted much attention to solve labeled data insufficient problem. However, these cross-domain learning algorithms cannot be applied for subspace learning, which plays a key role in multimedia, e. g., web image annotation. This paper envisions the cross-domain discriminative subspace learning and
Tao, D, Si, S, Chan, KP
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Cross-domain Data Management [PDF]
Jisuanji kexueAs data becomes a new production factor and the digital China is promoted as a top-level strategy,cross-domain data sharing and circulation play a crucial role in maximizing the value of data factors.The country has taken a series of measures such as ...
DU Xiaoyong, LI Tong, LU Wei, FAN Ju, ZHANG Feng, CHAI Yunpeng
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Sentiment Classification of News Text Data Using Intelligent Model
Frontiers in Psychology, 2021 Text sentiment classification is a fundamental sub-area in natural language processing. The sentiment classification algorithm is highly domain-dependent.
Shitao Zhang
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Cross–layer cross–domain adaptation of mobile video services
EAI Endorsed Transactions on Mobile Communications and Applications, 2012 This paper deals with the analysis of user perceived visual quality for mobilemultimedia services. H.264/AVC is selected for low resolution video encoding, and a mobile UMTS network is considered for the access to services.
Jose Oscar Fajardo +2 more
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Cross-Domain Learning with Normalizing Flow
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Cross-domain learning aims to transfer knowledge learned from one or more datasets to other datasets in different domains, so that less data will be required for learning in new tasks and datasets. One big challenge in cross-domain learning is to effectively synergize the knowledge learning between domains.
Wang, Chi +3 more
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Cross-Domain Crawling for Innovation
, 2013 Innovations, in any field, originate in the mind of people, on the base of mechanisms not yet completely understood. There have been many studies relevant to thinking techniques that have been proven to favor creativity, like for instance those studied by De Bono.
Assogna, Pierluigi, Taglino, Francesco
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Open cross-domain visual search
Computer Vision and Image Understanding, 2020 This paper addresses cross-domain visual search, where visual queries retrieve category samples from a different domain. For example, we may want to sketch an airplane and retrieve photographs of airplanes. Despite considerable progress, the search occurs in a closed setting between two pre-defined domains.
Thong, W., Mettes, P., Snoek, C.G.M.
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