Results 21 to 30 of about 7,844,010 (281)
Dual-Channel Feature Enhanced Collaborative Filtering Recommendation Algorithm
The dual-channel graph collaborative filtering recommendation algorithm (DCCF) suppresses the over-smoothing problem and overcomes the problem of expansion in local structures only in graph collaborative filtering.
Yuanyou Ou, Baoning Niu
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Mean-Variance Hedging and Forward-Backward Stochastic Differential Filtering Equations
This paper is concerned with a mean-variance hedging problem with partial information, where the initial endowment of an agent may be a decision and the contingent claim is a random variable.
Guangchen Wang, Zhen Wu
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Bayesian Nonlinear Filtering via Information Geometric Optimization
In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li +5 more
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Introduction. The growth in the volume of information transmitted through communication channels leads to their significant congestion. Almost all methods conventionally used to increase the data transfer rate in given frequency bands have been exhausted.
S. B. Makarov +2 more
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This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays.
Dongyan Chen +3 more
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Robust H infty filtering for uncertain differential linear repetitive processes
The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length.
Rogers, E +4 more
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Since filament thermocouple is limited by its junction structure and dynamic characteristics, the actual heat conduction process cannot be reproduced during the transient thermal shock.
Chenyang Zhao, Zhijie Zhang
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Software tool for processing and selecting objects in infrared images
The article describes the scientific problem of processing images obtained in the infrared range. Methods for filtering such images in order to reduce noise are presented. Methods for optimal smoothing are described.
V. A. Rybak, Rabia Amro
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Predictive coding appears to be one of the fundamental working principles of brain processing. Amongst other aspects, brains often predict the sensory consequences of their own actions. Predictive coding resembles Kalman filtering, where incoming sensory
Jan eKneissler +3 more
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Modified DRM+ signal generation algorithm with reduced crest factor
To reduce the crest factor in the DRM+ system due to the limitations imposed by the standard the peak limiting method (clipping) and the window weighting method, which are based on signal distortion, are widely used.
Konstantin Yu. Morozov
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