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 …

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 …

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 …

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 special …

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 …

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

Background The narrow host range of Mycobacterium leprae and the fact that it is refractory
to growth in culture has limited research on and the biologic understanding of leprosy. Host …

Metformin, the most prescribed antidiabetic medicine, has shown other benefits such as anti-ageing
and anticancer effects 1 , 2 , 3 – 4 . For clinical doses of metformin, AMP-activated …