机译:基于偏最小二乘的高效稀疏核特征提取
Inf.: Signals Images Syst. Res. Group, Univ. of Southampton, Southampton;
covariance matrices; face recognition; feature extraction; image retrieval; inference mechanisms; learning (artificial intelligence); least squares approximations; sparse matrices; support vector machines; text analysis; face detection; inference algorithm; machine learning; partial least squares; sparse kernel feature extraction method; sparse maximal alignment; sparse maximal covariance; support vector machine; text retrieval; training data; Feature extraction or construction; kernel methods; partial least squares (PLS).;
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机译:多 内核 递归 稀疏 离群 的 存在 最小二乘
机译:核化的偏最小二乘用于特征减少和基因芯片数据分类
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机译:再生核Hilbert空间中的核偏最小二乘回归