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	Global pixel-value-ordering framework with dynamic sequence partition for reversible data hiding 期刊论文 OAI收割 Knowledge-Based Systems, 2024, 卷号: 297 作者: Fan, Guojun; Wang, Ping; Li, Zijing; Zhou, Quan; Pan, Zhibin \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2024/09/13 Reversible data hiding Pixel-value-ordering Global framework Dynamic sequence partition Pairwise embedding
	Learning to Deliberate: Multi-Pass Decoding for Document-Grounded Conversations 会议论文 OAI收割 YOKOHAMA, JAPAN, 2024-07 作者: Junyan Qiu; Haitao Wang; Yiping Yang \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2024/06/17 dialogue system document-grounded conversations deliberation network sequence-to-sequence framework
	The Cambrian sequence filling process and sedimentary evolution of the Kuruktag area in the northeastern margin of the Tarim basin 期刊论文 OAI收割 DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 197, 页码: 15 作者: Zhao, Mingsheng; Yang, Yi; Tian, Jingchun; Zhang, Xiang; Su, Bingrui \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/10/09 Filling process Sedimentary evolution Sequence framework Cambrian Kuruktag area Northeastern margin of the Tarim basin
	Plastome evolution in the East Asian lobelias (Lobelioideae) using phylogenomic and comparative analyses 期刊论文 OAI收割 FRONTIERS IN PLANT SCIENCE, 2023, 卷号: 14, 页码: 1144406 作者: Li,Chun-Jiao; Xie,Xin-Tong; Liu,Hong-Xin; Wang,Ruo-Nan; Li,De-Zhu \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/05/09 East Asian lobelias plastomes phylogenomic framework highly divergent regions positive selection adaptive evolution INVERTED REPEAT HIGH-ALTITUDE CAMPANULACEAE GENOMES SELECTION EXPANSION SEQUENCE TOOLS GENE DNA
	Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks 会议论文 OAI收割 New Orleans, Louisiana & Online, 2022-11-28 作者: Chen, Zhiyang; Zhu, Yousong; Li, Zhaowen; Yang, Fan; Li, Wei \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2024/05/28 transformer general visual framework sequence prediction multi-task
	Introgression between Betula tianshanica and Betula microphylla and its implications for conservation 期刊论文 OAI收割 PLANTS PEOPLE PLANET, 2021, 卷号: 3, 期号: 4, 页码: 363-374 作者: Ding,Junyi; Hua,Donglai; Borrell,James S.; Buggs,Richard J. A.; Wang,Luwei \| 收藏 \| 浏览/下载：68/0 \| 提交时间：2022/04/02 Betula microphylla birch conservation ecological niche modelling genetic structure hybridization introgression species record MICROSATELLITE MARKERS DWARF BIRCH HYBRIDIZATION EVOLUTION FRAMEWORK SPECIATION DISCOVERY PUBESCENS TRANSPORT SEQUENCE
	Mesozoic "Red Beds" and its Evolution in the Hefei Basin 期刊论文 OAI收割 ACTA GEOLOGICA SINICA-ENGLISH EDITION, 2012, 卷号: 86, 期号: 5, 页码: 1060-1076 作者: Zhang Jiaodong; Chen Xuanhua; Li Qiuli; Liu Chengzhai; Li Bing \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2018/09/26 Mesozoic Erathem red beds sequence stratigraphic framework depositional evolution Hefei Basin
	The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Sun H.; Han H.-X.; Sun H. 收藏 \| 浏览/下载：60/0 \| 提交时间：2013/03/25 Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	Identification of a novel S-superfamily conotoxin from vermivorous Conus caracteristicus 期刊论文 OAI收割 TOXICON, 2008, 卷号: 51, 期号: 8, 页码: 1331-1337 作者: Liu, L; Wu, XC; Yuan, DD 收藏 \| 浏览/下载：22/0 \| 提交时间：2015/07/22 S-superfamily conotoxin sequence diversity cysteine framework CDNA cloning signal peptide