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There is a growing interest nowadays to process large amounts of data using the well-known decision-tree learning algorithms. Building a decision tree as fast as possible against a large dataset without substantial decrease in accuracy and using as ...
PURDILA, V., PENTIUC, S.-G.
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Long-form sports videos present unique challenges for temporally localizing relevant segments described by text queries. In this paper, a novel two-stage method is proposed for text snippet localization in long sports videos, combining efficient ...
Guang Xv, Xingchen Wu
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Introduction: Pattern recognition field is necessary for the recognition of different sensorimotor tasks in Brain Computer Interface systems. Reducing the number of features is an important step in Brain Computer Interface systems and it can improve the ...
Mansoureh Nekoei +2 more
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MAC Protocol for Data Gathering in Wireless Sensor Networks with the Aid of Unmanned Aerial Vehicles
Data gathering in wireless sensor networks by employing unmanned aerial vehicles has been a subject of real interest in the recent years. While drones are seen as an efficient method of data gathering in almost any environment, wireless sensor networks
VLADUTA, A.-V., PURA, M. L., BICA, I.
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Using thermal infrared imaging to estimate soil moisture dynamics
【Objective】 Change in soil water content is not only an indicator of water stresses used for irrigation management but also controls biogeochemical processes in soil.
QIN Chunyu +5 more
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Multiuser OFDM Adaptive Resource Allocation Based on Differential Evolution Algorithm
An improved subcarrier and power allocation algorithms based on differential evolution algorithm was proposed for the adaptive resource allocation problem of multiuser orthogonal frequency division multiplexing.
Yangkun Zhu, Xinyu Da, Yapu Zhang
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Study Design Retrospective clinical study. Objective The purpose of this study was to establish a novel classification of migrated lumbar disk herniation (LDH) based on magnetic resonance imaging and provide appropriate treatment strategies for each type
Anyuan Dai +5 more
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Improved multicanonical algorithms
Journal of the Optical Society of America A, 2006We introduce several easily programmed techniques that enhance the accuracy of multicanonical sampling. With minor modifications to the standard technique, our methods achieve equivalent or enhanced accuracy compared with existing, often far more complex, algorithmic refinements.
David, Yevick, Tao, Lu
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An Improved Condensing Algorithm
Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008), 2008kNN classifier is widely used in text categorization, however, kNN has the large computational and store requirements, and its performance also suffers from uneven distribution of training data. Usually, condensing technique is resorted to reducing the noises of training data and decreasing the cost of time and space.
Xiulan Hao +5 more
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