Results 21 to 30 of about 7,204,729 (322)
Random Blur Data Augmentation for Scene Text Recognition
IEEE Access, 2021 In this paper, we propose to apply data augmentation approaches that provide more diverse training images, thus helping train more robust deep models for the Scene Text Recognition (STR) task.
Deguo Mu, Wei Sun, Guoliang Xu, Wei Li
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A MODULAR MOBILE MAPPING PLATFORM FOR COMPLEX INDOOR AND OUTDOOR ENVIRONMENTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In this work we present the development of a prototype, mobile mapping platform with modular design and architecture that can be suitably modified to address effectively both outdoors and indoors environments.
I. Kalisperakis +6 more
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Duplicate Question Detection With Deep Learning in Stack Overflow
IEEE Access, 2020 Stack Overflow is a popular Community-based Question Answer (CQA) website focused on software programming and has attracted more and more users in recent years. However, duplicate questions frequently appear in Stack Overflow and they are manually marked
Liting Wang, Li Zhang, Jing Jiang
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Privacy Model: Detect Privacy Leakage for Chinese Browser Extensions
IEEE Access, 2021 The wide use of browser extensions brings the privacy leakage problem. The previous works detected private data transmission to find privacy leakage in Chrome or Firefox, but the real challenge is to determine whether the transmission is reasonable ...
Yufei Zhao +4 more
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GPU Acceleration of Melody Accurate Matching in Query-by-Humming
The Scientific World Journal, 2014 With the increasing scale of the melody database, the query-by-humming system faces the trade-offs between response speed and retrieval accuracy. Melody accurate matching is the key factor to restrict the response speed.
Limin Xiao +4 more
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Toward Bounds on Parallel Execution Times of Task Graphs on Multicores With Memory Constraints
IEEE Access, 2019 As more and more parallel programs are migrating to shared computing platforms, bounding their parallel execution times under resource constraints is particularly important for their efficient executions.
Jiangong Song, Qinyong Li, Shilong Ma
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Detecting Coordination Problems in Collaborative Software Development Environments [PDF]
, 2008 Software development is rarely an individual effort and generally involves teams of developers collaborating to generate good reliable code. Among the software code there exist technical dependencies that arise from software components using services ...
Amrit, Chintan, Hillegersberg, Jos van
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Japanese Pronunciation Evaluation Based on DDNN
IEEE Access, 2020 In recent years, speech recognition technology based on deep learning model has made great progress, and the accuracy of speech recognition has reached more than 90%. In foreign language learning, speech evaluation is an important application.
Deguo Mu, Wei Sun, Guoliang Xu, Wei Li
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Frontiers in Pharmacology, 2018 Background: Utilization of the available observational healthcare datasets is key to complement and strengthen the postmarketing safety studies. Use of common data models (CDM) is the predominant approach in order to enable large scale systematic ...
Anil Pacaci +6 more
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Heterogeneous Ensemble Model to Optimize Software Effort Estimation Accuracy
IEEE Access, 2023 The software industry has experienced rapid expansion in recent years, with software development now essential to the success of many multinational corporations.
Syed Sarmad Ali +4 more
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