Recurrent neural networks (RNNs) have been widely adopted in research areas concerned
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …

Flexible electronics is an emerging field of research involving multiple disciplines, which
include but not limited to physics, chemistry, materials science, electronic engineering, and …

Inner filter effect (IFE) was previously considered as an error in fluorescence measurement.
In recent years, it has been developed as an important non-irradiation energy conversion …

We report the generation and analysis of functional data from multiple, diverse experiments
performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE …

Abstract The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST, also
called the Guo Shou Jing Telescope) is a special reflecting Schmidt telescope. LAMOST's …

In this paper, we address the subspace clustering problem. Given a set of data samples
(vectors) approximately drawn from a union of multiple subspaces, our goal is to cluster the …

As a new way of training generative models, Generative Adversarial Net (GAN) that uses a
discriminative model to guide the training of the generative model has enjoyed considerable …

Traditional machine learning makes a basic assumption: the training and test data should be
under the same distribution. However, in many cases, this identical-distribution assumption …

We propose low-rank representation (LRR) to segment data drawn from a union of multiple
linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank …

Abstract The Large sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) general
survey is a spectroscopic survey that will eventually cover approximately half of the celestial …