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Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis
The urban intersection is a typically dynamic and complex scenario for i...
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MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method
Most modern Multi-Object Tracking (MOT) systems typically apply REID-bas...
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Co-contributorship Network and Division of Labor in Individual Scientific Collaborations
Collaborations are pervasive in current science. Collaborations have bee...
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Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
Quantized channel state information (CSI) plays a critical role in preco...
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Analyzing Linguistic Complexity and Scientific Impact
The number of publications and the number of citations received have bec...
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Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
The task of crowd counting in varying density scenes is an extremely dif...
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MIMO Channel Information Feedback Using Deep Recurrent Network
In a multiple-input multiple-output (MIMO) system, the availability of c...
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An Enhanced SCMA Detector Enabled by Deep Neural Network
In this paper, we propose a learning approach for sparse code multiple a...
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Examining Scientific Writing Styles from the Perspective of Linguistic Complexity
Publishing articles in high-impact English journals is difficult for sch...
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Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications
Considering the driving habits which are learned from the naturalistic d...
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Correlated Eigenvalues Optical Communications
There is a fundamental limit on the capacity of fibre optical communicat...
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