—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
This article presents the design, implementation and use of a remote network lab with multiple users support as an aid to teaching computer networks. The purpose is to enable mult...
Marco Aravena Vivar, Cristian Rodriguez, Andres Ra...
Tibetan word segmentation is essential for Tibetan information processing. People mainly use the basic machine matching method which is based on dictionary to segment Tibetan word...
Huidan Liu, Weina Zhao, Minghua Nuo, Li Jiang, Jia...
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...