Results 261 to 270 of about 6,939,271 (302)

Local and Global Feature Based Explainable Feature Envy Detection

2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 2021
Code smell detection can help developers identify position of code smell in projects and enhance the quality of software system. Usually codes with similar semantic relationships have greater code dependencies, and most code smell detection methods ignore dependencies relationships within the source code.
Xin Yin, Chongyang Shi 0001, Shuxin Zhao
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Global Telescience featuring IPv6 at iGrid2002

Future Generation Computer Systems, 2003
Electron tomography is a powerful technique for deriving 3D structural information from biological specimens. As advanced instrumentation, networking, and grid computing are applied to electron tomography and biological sciences in general, much work is needed to integrate and coordinate these advanced technologies in a transparent way to deliver them ...
David Lee, Abel W. Lin, Thomas Hutton, Toyokazu Akiyama, Shinji Shimojo, Fang-Pang Lin, Steven Peltier, Mark H. Ellisman   +7 more
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Common Seasonal Features: Global Unemployment

SSRN Electronic Journal, 1996
Seasonal patterns in economic time series are generally examined from a univariate point of view. Using extensions of the unit root literature, important classes of seasonal processes are deterministic, stationary stochastic or mean reverting, and unit root stochastic.
Engle, Robert F., Hylleberg, Svend
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Improving answer selection with global features

Expert Systems, 2020
AbstractGiven a question and its answer candidates (named QA corpus), answer selection is the task of identifying the most relevant answers to the question. Answer selection is widely used in question answering, web search, and so on. Current deep neural network models primarily utilize local features extracted from input question‐answer pairs (QA ...
Shengwei Gu, Xiangfeng Luo, Hao Wang 0097, Jing Huang, Qin Wei, Subin Huang   +5 more
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Video Summarization with Global and Local Features

2012 IEEE International Conference on Multimedia and Expo Workshops, 2012
Video summarization has been crucial for effective and efficient access of video content due to the ever increasing amount of video data. Most of the existing key frame based summarization approaches represent individual frames with global features, which neglects the local details of visual content.
Genliang Guan, Zhiyong Wang 0001, Kaimin Yu, Shaohui Mei, Mingyi He, David Dagan Feng   +5 more
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EEG Features in Transient Global Amnesia

Clinical Electroencephalography, 1987
Forty-seven patients with one or more episodes of transient global amnesia (TGA) were studied by means of standard and 24-hour ambulatory cassette recording electroencephalography (EEG). Only one individual, with a left frontal hemorrhage, had intracranial lesions. TGA was multiple in 16 of the patients (34%), the attacks recurring with an average time
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Superiority of global features in classification and matching

Psychological Research, 1985
Global superiority refers to the phenomenon that stimuli can be discriminated, classified, and matched faster using a global feature than a local feature. Global superiority has been shown by several authors with forms (global feature) composed of smaller forms (local features) as stimuli.
J, Wandmacher, U, Arend
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Global feature for online character recognition

Pattern Recognition Letters, 2014
This paper focuses on the importance of global features for online character recognition. Global features represent the relationship between two temporally distant points in a handwriting pattern. For example, it can be defined as the relative vector of two xy-coordinate features of two temporally separated points.
Minoru Mori, Seiichi Uchida, Hitoshi Sakano   +2 more
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Space Asymmetry as a Possible Global Feature

Chirality, 2013
ABSTRACTA series of reports in the literature indicated symmetry breaking in assemblies of chiral molecules of opposite handedness. These unexpected observations could be accounted for as being generated by the “parity violation” of the nuclear weak force, combined with an autocatalytic amplification process.
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Global Feature Guided Local Pooling

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
In deep convolutional neural networks (CNNs), local pooling operation is a key building block to effectively downsize feature maps for reducing computation cost as well as increasing robustness against input variation. There are several types of pooling operation, such as average/max-pooling, from which one has to be manually selected for building CNNs.
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