Results 1 to 10 of about 2,573 (66)
R-PCR: Recurrent Point Cloud Registration Using High-Order Markov Decision
Despite the fact that point cloud registration under noisy conditions has recently begun to be tackled by several non-correspondence algorithms, they neither struggle to fuse the global features nor abandon early state estimation during the iterative ...
Xiaoya Cheng +4 more
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Independent Random Recurrent Neural Networks for Infrared Spatial Point Targets Classification
Exo-atmospheric infrared (IR) point target discrimination is an important research topic of space surveillance systems. It is difficult to describe the characteristic information of the shape and micro-motion states of the targets and to discriminate ...
Dongya Wu +3 more
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With the increasing popularity of location-aware Internet-of-Vehicle services, the next-Point-of-Interest (POI) recommendation has gained significant research interest, predicting where drivers will go next from their sequential movements.
Chunshan Li +3 more
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An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation
Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN).
Chunyang Liu +5 more
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Equicontinuous local dendrite maps
Let X be a local dendrite, and f : X → X be a map. Denote by E(X) the set of endpoints of X. We show that if E(X) is countable, then the following are equivalent: (1) f is equicontinuous; (2) fn (X) = R(f); (3) f| fn (X) is equicontinuous; (4) f ...
Aymen Haj Salem +2 more
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According to the definition of sequence shadowing property and regularly recurrent point in the inverse limit space, we introduce the concept of sequence shadowing property and regularly recurrent point in the double inverse limit space and study their ...
Zhan jiang Ji
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The Effects of Preoperative Coronary Collateral Circulation on Cardiac-Related Events after Coronary Artery Bypass Graft Surgery [PDF]
Introduction: This study aimed to evaluate the effects of coronary collateral circulation (CCC) in patients who had undergone coronary artery bypass grafting (CABG).
Hasan Güngör +6 more
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In this paper, we apply Markov chain techniques to select the best financial stocks listed on the Ghana Stock Exchange based on the mean recurrent times and steady-state distribution for investment and portfolio construction.
Gabriel Kallah-Dagadu +4 more
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Important Trading Point Prediction Using a Hybrid Convolutional Recurrent Neural Network
Stock performance prediction plays an important role in determining the appropriate timing of buying or selling a stock in the development of a trading system.
Xinpeng Yu, Dagang Li
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Segmentation of Points in the Future: Joint Segmentation and Prediction of a Point Cloud
Recognizing and predicting future three-dimensional (3D) scenes are crucial steps for real-time vision-based control systems, as these steps enable them to react appropriately in advance.
Cheng Wencan, Jong Hwan Ko
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