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This paper proposes a music auto-tagging system based on probabilistic annotation of semantically meaningful tags with variable feature sets. The perception-related long-term features are extracted. The original features are selected by a combination algorithm of ReliefF and principle component analysis (PCA) to form a variable unique feature subset for each tag. The Gaussian mixture models (GMMs)...
Traditional algorithm of global dimensionality reduction such as PCA, MDS and Isomap, measure the relation of data by distance, this paper gives an angle measurement approach for the relation of data. Based on the theoretic analysis, a novel angle optimized global embedding (AOGE) algorithm is proposed, which measured the relation of data by the angles between the centralized samples and their orthogonal...
In term of multivariate operating conditions, complex dynamic performance and steady qualitative logic relation between variables in power plant thermal process, signed directed graph (SDG) is introduced to apply in fault diagnosis of power plant thermal system. SDG is a self-contained method to effectively diagnosis system failures, which can be constructed effectively by using the grading modeling...
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