Ikuro Sato

TL;DR: It is shown that APAC gives far better generalization performance than the traditional way of class prediction in several experiments, and the convolutional neural network model with APAC achieved a state-of-the-art accuracy on the MNIST dataset among non-ensemble classifiers.

TL;DR: In this paper, the design and implementation of large sets of spatially extended, gauge-invariant operators for use in determining the spectrum of baryons in lattice QCD computations are described.

TL;DR: In this paper, the energy of excited isospin I = 1/2 and I = 3/2 states that include the nucleon and Delta families of baryons are computed using quenched, anisotropic lattices.

TL;DR: In this paper, a large set of baryon interpolating field operators are developed for use in lattice QCD studies of Baryons with zero momentum, and operators are classified according to the double-valued irreducible representations of the octahedral group.

TL;DR: In this article, a moving object recognition system includes a camera that is installed in a vehicle and captures continuous single-view images, a detecting unit that detects moving objects from the images captured by the camera, a relative approach angle estimating unit, and a collision risk calculating unit that calculates the risk of the moving object colliding with the vehicle.