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Titlebook: Cognitive Systems and Signal Processing; 5th International Co Fuchun Sun,Huaping Liu,Bin Fang Conference proceedings 2021 Springer Nature S

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Type inference and type containment,on of direct method and feature-based method. The visual odometer uses the photometric error to directly match and track the camera’s pose to improve the real-time performance. Then the ORB (Oriented FAST and Rotated Brief) features are extended from key frames, and local and global optimization can
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Semantics of Genitive Objects in Russianin. In this paper, take advantage of aggregating data method from all source and latent domains as a novel, we propose episodic training for domain generalization, aim to improve the performance during the trained model used for prediction in the unseen domain. To address this goal, we first designe
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Deep Structure as Logical Form,w precision and poor adaptability. In this paper, a novel attitude estimation algorithm based on the fusion model of extend Kalman filter (EKF) and long short-term memory (LSTM) is proposed, which is composed of two main process: the initial attitude estimation of EKF and the subsequent calibration
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Semantics of Probabilistic Processesents prior methods to handle this task. Therefore, we propose a model called knowledge-experience fusion graph (KEFG) network for novel inference. It exploits information from both knowledge and experience. With the employment of graph convolutional network (GCN), KEFG generates the predictive class
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Testing Finitary Probabilistic Processes,lar value decomposition (SVD) of larger size matrix in big data and information processing. By factoring the matrix trace lasso into the squared sum of two Frobenius-norm, this work studies the solutions of both adaptive sparse representation (ASR) and correlation adaptive subspace segmentation (CAS
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Loose Real-Time Communicating Agents, the environments. Most of the current methods consider the planning process alone instead of combining the planning results with tracking control, which leads to a significant reduction in the availability of the path, especially in complex scenarios with missing GPS and low positioning sensor accu
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