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Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning
- Yuehua Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 1 June 2018
This paper proposes an approach to exploiting unlabeled tracklets by gradually but steadily improving the discriminative capability of the Convolutional Neural Network feature representation via stepwise learning.
New Techniques for the Detection and Adjustment of Shifts in Daily Precipitation Data Series
Abstract This study integrates a Box–Cox power transformation procedure into a common trend two-phase regression-model-based test (the extended version of the penalized maximal F test, or “PMFred,”…
Gut microbiota and intestinal FXR mediate the clinical benefits of metformin
It is concluded that metformin acts in part through a B. fragilis–GUDCA–intestinal FXR axis to improve metabolic dysfunction, including hyperglycemia, and improves the metabolic health of humans and mice.
Penalized Maximal t Test for Detecting Undocumented Mean Change in Climate Data Series
Abstract In this paper, a penalized maximal t test (PMT) is proposed for detecting undocumented mean shifts in climate data series. PMT takes the relative position of each candidate changepoint into…
Large-Scale Analyses of Angiosperm Nucleotide-Binding Site-Leucine-Rich Repeat Genes Reveal Three Anciently Diverged Classes with Distinct Evolutionary Patterns1
The reconstructed framework of angiosperm NBS-LRR gene evolution in this study may serve as a fundamental reference for better understanding angiosperms' largest plant disease resistance gene family (R genes).
Progressive Learning for Person Re-Identification With One Example
- Yuehua Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian, Yi Yang
- Computer ScienceIEEE Transactions on Image Processing
- 10 January 2019
This paper proposes a progressive framework that gradually exploits the unlabeled data for person re-ID with comparable performance to the supervised state-of-the-art method with 100% labeled data.
An inventory of invasive alien species in China
Invasive alien species (IAS) are a major global challenge requiring urgent action, and the Strategic Plan for Biodiversity (2011–2020) of the Convention on Biological Diversity (CBD) includes a…
Scaling Social Media Applications Into Geo-Distributed Clouds
- Yuehua Wu, Chuan Wu, Bo Li, Linquan Zhang, Zongpeng Li, F. Lau
- Computer ScienceIEEE/ACM Transactions on Networking
- 1 June 2015
This paper proposes efficient proactive algorithms for dynamic, optimal scaling of a social media application in a geo-distributed cloud by exploiting social influences among users and verifies the effectiveness of the online algorithm by solid theoretical analysis, as well as thorough comparisons to ready algorithms including the ideal offline optimum.
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification
- Ruijie Quan, Xuanyi Dong, Yuehua Wu, Linchao Zhu, Yi Yang
- Computer ScienceIEEE/CVF International Conference on Computer…
- 23 March 2019
This work proposes a retrieval-based search algorithm over a specifically designed reID search space, named Auto-ReID, which enables the automated approach to find an efficient and effective CNN architecture for reID.
A strongly consistent procedure for model selection in a regression problem
SUMMARY We consider the multiple regression model Yn = Xn, + En, where Yn and En are n-vector random variables, Xn is an n x m matrix and 83 is an m-vector of unknown regression parameters. Each…