Canonical Correlation Analysis (CCA) is a powerful statistical technique. In machine learning and multimedia information retrieval, CCA plays a vital role in uncovering intricate relationships between different sets of.
Understanding Compression of Convolutional Neural Nets: Part 1 There are neural network applications where the resources, for example compute power, memory space, battery power etc., are limited. In such.
A common scenario in multiple linear regression is to have a large set of observations/examples wherein each example consists of a set of measurements made on a few independent.
In my previous post, I had written about principal component analysis (PCA) for dimensionality reduction. In PCA, the class label of each and every example, even if available, is.