A serial multiplier suitable for VLSI implementation is discussed. The multiplier accepts binary operands supplied in a serial fashion, least significant bits first. The multiplier uses a canonical cell which allows calculation of a 2k length product ...
Canonical correlation analysis (CCA) is one of the most well-known methods to extract features from multi-view data and has attracted much attention in recent years. However, classical CCA is unsupervised and does not take class label information into ...
Kernel canonical correlation analysis (KCCA) is a fundamental technique for dimensionality reduction for paired data. By finding directions that maximize correlation in the space implied by the kernel, KCCA is able to learn representations that are more ...
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