Mumble
发表于 2025-3-25 04:35:20
Rosanne Kassekert,Tai Mendenhallng the cannot-link constraints and the compactness of shared nearest neighbors. For the reason that the local data structure is one of the most significant features for the data of multiple subclasses, manifold regularization is also incorporated in our dimension reduction framework. Extensive exper
callous
发表于 2025-3-25 08:56:49
Factors Associated with Variationetween measures is derived by calculating the similarity between corresponding point-sequence curves. Experiment results showed that the proposed approach is robust and has achieved significant improvement on precision than previous algorithms.
invulnerable
发表于 2025-3-25 12:51:13
Arunraj Navaratnarajah,Michelle Willicombe three well known datasets from Kent Ridge Biomedical Data Repository. Comparison with other state of art methods shows that our proposed algorithm is able to achieve better classification accuracy with less number of features.
标准
发表于 2025-3-25 17:51:20
M. E. Broe,G. A. Porter,G. A. Verpootenethod. The proposed G-2DFLD method was evaluated on two popular face recognition databases, the AT&T (formerly ORL) and the UMIST face databases. The experimental results show that the new G-2DFLD scheme outperforms the PCA, 2DPCA, FLD and 2DFLD schemes, not only in terms of computation times, but a
吞没
发表于 2025-3-25 20:31:56
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增强
发表于 2025-3-26 00:10:32
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GREG
发表于 2025-3-26 04:54:17
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GLOSS
发表于 2025-3-26 09:48:00
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Cirrhosis
发表于 2025-3-26 13:39:38
Medical Family Therapy in Oncologyning problems. We extensively evaluate its performance through experiments on both artificial and real world datasets. The obtained results show the suitability and viability of our approach for knowledge discovery in distributed environments.
小歌剧
发表于 2025-3-26 16:52:29
Clinical Methods in Medical Family Therapyupdate current candidate sequential patterns and report up-to-date frequent sequential patterns within each POI. The experimental results show that DPSP possesses great scalability and consequently increases the performance and the practicability of mining algorithms.