倒转
发表于 2025-3-25 07:20:35
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用树皮
发表于 2025-3-25 11:25:35
Background on KernelsIn functional analysis—a field of mathematics—there are various spaces of either data points or functions. For example, the Euclidean space is a subset of the Hilbert space, while the Hilbert space itself is a subset of the Banach space. The Hilbert space is a space of functions and its dimensionality is often considered to be high.
adipose-tissue
发表于 2025-3-25 14:38:16
Fisher Discriminant AnalysisFisher Discriminant Analysis (FDA) attempts to find a subspace that separates the classes as much as possible, while the data also become as spread as possible.
毛细血管
发表于 2025-3-25 15:48:55
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GROSS
发表于 2025-3-25 23:51:43
Locally Linear EmbeddingLocally Linear Embedding (LLE) is a nonlinear spectral dimensionality reduction method that can be used for manifold embedding and feature extraction.
echnic
发表于 2025-3-26 00:09:22
Laplacian-Based Dimensionality ReductionSpectral dimensionality reduction methods deal with the graph and geometry of data and usually reduce to an eigenvalue or generalized eigenvalue problem (see Chap. .).
GNAW
发表于 2025-3-26 06:49:47
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有罪
发表于 2025-3-26 10:58:53
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Valves
发表于 2025-3-26 13:13:59
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高兴一回
发表于 2025-3-26 20:18:02
Probabilistic Metric LearningIt was mentioned in Chap. . that metric learning can be divided into three types of learning—spectral, probabilistic and deep metric learning.