nerve-sparing 发表于 2025-3-27 00:03:34
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C. S. Chou,P. A. Meyer,C. Strickers the BSS problem into a series of sub-BSS problems by a combination of data clustering, linear programming, and successive elimination of variables. In each sub-BSS problem, an ℓ. minimization problem is formulated for recovering the source signals in a sparse transformed domain. The method is substantiated by NMR data.服从 发表于 2025-3-27 08:45:41
Seminaire de Probabilites XIX 1983/84 and obtain temporal motion parameters. The two types of motion parameters are used to train and classify using Adaboost and HMM-based classifier. Experimental results show that temporal motion parameters perform much better than uniform motion parameters, and can be used to efficiently recognize facial expression.密切关系 发表于 2025-3-27 13:16:52
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A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectros the BSS problem into a series of sub-BSS problems by a combination of data clustering, linear programming, and successive elimination of variables. In each sub-BSS problem, an ℓ. minimization problem is formulated for recovering the source signals in a sparse transformed domain. The method is substantiated by NMR data.cruise 发表于 2025-3-28 01:17:06
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JBoost Optimization of Color Detectors for Autonomous Underwater Vehicle Navigationbility for AUVs, with an emphasis on computer-aided detection through classifier optimization via machine learning. This paper describes the development of color-based classification algorithm and its application as a cost-sensitive alternative for navigation on the small Stingray AUV.高射炮 发表于 2025-3-28 12:06:23
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