The properties of a quantum material are driven by links between its electrons known as quantum correlations. A RIKEN ...

Abstract: The angle between two compressed sparse vectors subject to the norm/distance constraints imposed by the restricted isometry property (RIP) of the sensing matrix plays an important role in ...

To calculate the Euclidean distance between two points \(\mathbf{x}\) and \(\mathbf{y}\): import numpy as np # Define the points x = np.array([3, 4]) y = np.array([4 ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

Abstract: We propose an alternative method for estimating the Euclidean distance between an image block and a codeword. Our method incorporates the reduced code look-up table (RCLUT) method with an ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a particular make and model of a used car based on its ...