Discrete Cosine Transform

Discrete Cosine Transform

The Discrete Cosine Transform (DCT) is a mathematical tool that is used to decompose an image into its spatial frequency spectrum. It expresses a sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. The DCT is used a lot in compression tasks, particularly in image compression, where it can be used to discard high-frequency components. In this article, we will explore what the DCT is and how it works. What is the Discrete Cosine Transform? The Dis

MCKERNEL

MCKERNEL

Overview of McKernel: A Framework for Kernel Approximates in the Mini-Batch Setting McKernel is a framework introduced to use kernel approximates in the mini-batch setting with Stochastic Gradient Descent (SGD) as an alternative to Deep Learning. This core library was developed in 2014 as an integral part of a thesis at Carnegie Mellon and City University of Hong Kong. The original intention was to implement a speedup of Random Kitchen Sinks by writing a very efficient HADAMARD transform, which

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