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	Deep Conditional Distribution Learning for Age Estimation 期刊论文 OAI收割 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 4679-4690 作者: Sun, Haomiao; Pan, Hongyu; Han, Hu; Shan, Shiguang \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2021/12/01 Estimation Task analysis Faces Face recognition Learning systems Adaptation models Information processing Conditional modeling distribution learning label ambiguity age estimation attribute estimation
	Semisupervised Learning With Parameter-Free Similarity of Label and Side Information 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 405–414 作者: Zhang, Rui; Nie, Feiping; Li, Xuelong \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2019/03/20 Graph-based semisupervised learning (GSL) quadratic trace ratio (QTR) problem side information soft label
	食用蔬菜能吸收和积累微塑料期刊论文 OAI收割科学通报, 2019, 卷号: 64, 期号: 9, 页码: 928-934 作者: 李连祯; 周倩; 尹娜; 涂晨; 骆永明 \| 收藏 \| 浏览/下载：143/0 \| 提交时间：2020/06/17 微塑料生菜聚苯乙烯微球吸收积累健康风险 microplastics lettuce polystyrene microbeads uptake accumulation human health risk Microplastic (MP, 100 nm-5 mm) may present an attributable risk to ecosystem and human health, and its pollution has become a global environmental concern. Despite a wealth of information on the accumulation of MPs in aquatic species, there is no information on the uptake and accumulation of MPs by higher plants. Terrestrial edible plants are directly exposed to MPs when agricultural soil was applied with organic manure, sewage sludge as fertilizer or plastic mulching. In this paper, the uptake of two sizes of polystyrene (PS) microbeads (0.2 and 1.0 mum) and then their distribution and migration in an edible plant lettuce were firstly investigated based on laboratory experiments. We used fluorescent markers to track PS microbeads in plant tissues and found fluorescence to be a sensitive and reliable detection method. Sections from untreated control lettuce showed no autofluorescence. When roots were treated with fluorescently labeled PS microbeads, the microbeads could be identified by its fluorescence. Our main study investigated the uptake of 0.2 mum beads, as few luminescence signals were observed in lettuce roots for 1.0 mum beads in our experiment. We observed that 0.2 mum fluorescent microbeads were extracellularly trapped in the root cap mucilage (which is a highly hydrated polysaccharide) and a dark green tip (which was typical of lettuce roots exposed to label PS beads) was usually visible to the naked eye. Confocal images revealed that the PS luminescence signals were mainly located in the vascular system and on the cell walls of the cortex tissue of the roots, indicated that the beads passed through the intercellular space via the apoplastic transport system. Once inside the central cylinder, the 0.2 mum PS beads were transferred from the roots to the stems and leaves via the vascular system following the transpiration stream. We also observed that the PS beads adhered to one another and self-assembled systematically into grape-like and (chain) string-like clusters in the intercellular space of the root and stem vascular tissue of lettuce plant. In contrast to the root and stem, PS beads were dispersed in the leaf tissue. Here, for the first time we provide evidence of the adherence, uptake, accumulation, and translocation of submicrometer MPs within an edible plant. Our findings highlight the previously underappreciated human exposure pathway to MPs through the consumption of contaminated crops and emphasize the need for new management strategies to control the release of MPs waste products into the terrestrial environment. Ultimately, the potential impacts of low range sized MPs on food safety of crop plants and human health need to be urgently considered.
	Structured low rank tracker with smoothed regularization 会议论文 OAI收割 2016 IEEE Visual Communication and Image Processing, VCIP 2016, Chengdu, China, November 27-30, 2016 作者: Fan BJ(范保杰); Cong Y(丛杨); Li XM(李小毛); Tang YD(唐延东) 收藏 \| 浏览/下载：32/0 \| 提交时间：2017/02/17 object tracking structured low rank label information smoothed regularization iterative reweighed least squares
	Crowd counting in public video surveillance by label distribution learning 期刊论文 OAI收割 Neurocomputing, 2015, 卷号: 166, 期号: 1, 页码: 151-163 作者: Zhaoxiang Zhang; Mo Wang; Xin Geng \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2017/02/09 Crowd Counting Information Reuse Label Distributions Visual Surveillance
	Online discriminative dictionary learning via label information for multi task object tracking 会议论文 OAI收割 2014 IEEE International Conference on Multimedia and Expo, ICME 2014, Chengdu, China, July 14-18, 2014 作者: Fan BJ(范保杰); Du YK(杜英魁); Gao, Hao; Wang, Baoyun 收藏 \| 浏览/下载：34/0 \| 提交时间：2015/08/23 label information discriminative dictionary learning multi task learning object tracking
	A unified online dictionary learning framwork with label information for robust object tracking 会议论文 OAI收割 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014 作者: Fan BJ(范保杰); Sun J(孙静); Cong Y(丛杨); Du YK(杜英魁) 收藏 \| 浏览/下载：28/0 \| 提交时间：2015/01/30 Label information the unified objective function for online dictionary learning optimal linear multi-classifier
	Conditional random field for text segmentation from images with complex background 期刊论文 OAI收割 PATTERN RECOGNITION LETTERS, 2010, 卷号: 31, 期号: 14, 页码: 2295-2308 作者: Li, Minhua; Bai, Meng; Wang, Chunheng; Xiao, Baihua 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/08/12 Conditional random field (CRF) Text segmentation Complex background Local information Contextual label information
	a practical alternative to domain and type enforcement integrity formal models 会议论文 OAI收割 2nd SKLOIS Conference on Information Security and Cryptology, Beijing, PEOPLES R CHINA, NOV 29-DEC Tang Liuying; Qing Sihan \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2011/07/28 security label security goal integrity information flow formal model