A criterion for optimizing kernel parameters in KBDA for image retrieval.
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Hyperspectral sensing data analysis based on quasiconformal mapping-based multiple kernels learning machine.Multiple sensors-based kernel machine learning in smart environment.Optimizing Kernel PCA Using Sparse Representation-Based Classifier for MSTAR SAR Image Target RecognitionSupervised Kernel Optimized Locality Preserving Projection with Its Application to Face Recognition and Palm Biometrics
P2860
A criterion for optimizing kernel parameters in KBDA for image retrieval.
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2005 nî lūn-bûn
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2005年の論文
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年學術文章
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name
A criterion for optimizing kernel parameters in KBDA for image retrieval.
@en
A criterion for optimizing kernel parameters in KBDA for image retrieval.
@nl
type
label
A criterion for optimizing kernel parameters in KBDA for image retrieval.
@en
A criterion for optimizing kernel parameters in KBDA for image retrieval.
@nl
prefLabel
A criterion for optimizing kernel parameters in KBDA for image retrieval.
@en
A criterion for optimizing kernel parameters in KBDA for image retrieval.
@nl
P1476
A criterion for optimizing kernel parameters in KBDA for image retrieval
@en
P2093
Kap Luk Chan
P304
P356
10.1109/TSMCB.2005.846660
P50
P577
2005-06-01T00:00:00Z