Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: In recent years, various deep learning architectures have been proposed to solve complex challenges (e.g. spatial dependency, temporal dependency) in traffic domain, which have achieved ...

Abstract: Few-shot learning is a tough topic to solve since obtaining a large number of training samples in real applications is challenging. It has attracted increasing attention recently.

Here, we address the problem of segmenting image into different regions. We first convert the image into a graph based representation by first constructing the superpixels by using Simple Linear ...

Basis Universal is an open source supercompressed LDR/HDR GPU compressed texture interchange system from Binomial LLC that supports two intermediate file formats: the .KTX2 open standard from the ...