Robust recovery of subspace structures by low-rank representation
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 …
approximately drawn from a union of multiple subspaces, our goal is to cluster the …
The large sky area multi-object fiber spectroscopic telescope (LAMOST)
…, YF Wang, LZ Xu, Y Xu, SH Yang, Y Yu… - … in Astronomy and …, 2012 - iopscience.iop.org
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 …
Guo Shou Jing Telescope) is a special reflecting Schmidt telescope. LAMOST's special …
Seqgan: Sequence generative adversarial nets with policy gradient
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 …
discriminative model to guide the training of the generative model has enjoyed considerable …
Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project
…, JM Lin, HP Shulha, X Zhang, M Xu, JNS Haidar, Y Yu… - nature, 2007 - nature.com
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 …
performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE …
A review of recurrent neural networks: LSTM cells and network architectures
Y Yu, X Si, C Hu, J Zhang - Neural computation, 2019 - direct.mit.edu
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 …
with sequential data, such as text, audio, and video. However, RNNs consisting of sigma …
Boosting for transfer learning
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 …
under the same distribution. However, in many cases, this identical-distribution assumption …
[HTML][HTML] Genomewide association study of leprosy
…, JW Han, GQ Yu, C Quan, YX Yu… - … England Journal of …, 2009 - Mass Medical Soc
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 …
to growth in culture has limited research on and the biologic understanding of leprosy. Host …
[PDF][PDF] Robust subspace segmentation by low-rank representation
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 …
linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank …
The first data release (DR1) of the LAMOST regular survey
…, HQ Yang, M Yang, ZQ Yao, Y Yu… - … in Astronomy and …, 2015 - iopscience.iop.org
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 sphere …
is a spectroscopic survey that will eventually cover approximately half of the celestial sphere …
[HTML][HTML] Low-dose metformin targets the lysosomal AMPK pathway through PEN2
…, M Li, Y Wang, C Yang, J Wu, X Wei, Q Qu, Y Yu… - Nature, 2022 - nature.com
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 …
and anticancer effects 1 , 2 , 3 – 4 . For clinical doses of metformin, AMP-activated …