派博傳思國(guó)際中心

標(biāo)題: Titlebook: High-Dimensional and Low-Quality Visual Information Processing; From Structured Sens Yue Deng Book 2015 Springer-Verlag Berlin Heidelberg 2 [打印本頁(yè)]

作者: Herbaceous    時(shí)間: 2025-3-21 17:28
書目名稱High-Dimensional and Low-Quality Visual Information Processing影響因子(影響力)




書目名稱High-Dimensional and Low-Quality Visual Information Processing影響因子(影響力)學(xué)科排名




書目名稱High-Dimensional and Low-Quality Visual Information Processing網(wǎng)絡(luò)公開(kāi)度




書目名稱High-Dimensional and Low-Quality Visual Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱High-Dimensional and Low-Quality Visual Information Processing被引頻次




書目名稱High-Dimensional and Low-Quality Visual Information Processing被引頻次學(xué)科排名




書目名稱High-Dimensional and Low-Quality Visual Information Processing年度引用




書目名稱High-Dimensional and Low-Quality Visual Information Processing年度引用學(xué)科排名




書目名稱High-Dimensional and Low-Quality Visual Information Processing讀者反饋




書目名稱High-Dimensional and Low-Quality Visual Information Processing讀者反饋學(xué)科排名





作者: FELON    時(shí)間: 2025-3-21 23:09

作者: follicle    時(shí)間: 2025-3-22 03:14

作者: INERT    時(shí)間: 2025-3-22 06:03

作者: 繼而發(fā)生    時(shí)間: 2025-3-22 12:18

作者: Jingoism    時(shí)間: 2025-3-22 15:18

作者: 勛章    時(shí)間: 2025-3-22 20:51

作者: Infirm    時(shí)間: 2025-3-23 00:32

作者: 遺傳    時(shí)間: 2025-3-23 02:35

作者: disparage    時(shí)間: 2025-3-23 05:59

作者: 范例    時(shí)間: 2025-3-23 13:39

作者: Chronic    時(shí)間: 2025-3-23 17:23
Yue Deng, electromagnetics, mathematical finance, biomedical enginee.The present volume is comprised of contributions solicited from invitees to conferences held at the University of Houston, Jyv?skyl? University, and Xi’an Jiaotong University honoring the 70th birthday of Professor Roland Glowinski. Althou
作者: llibretto    時(shí)間: 2025-3-23 18:49

作者: Control-Group    時(shí)間: 2025-3-24 00:19

作者: tic-douloureux    時(shí)間: 2025-3-24 05:44
Yue DengXi’an Jiaotong University honoring the 70th birthday of Professor Roland Glowinski. Although scientists convened on three different continents, the Editors prefer to view the meetings as single event. The three locales signify the fact Roland has friends, collaborators and admirers across the globe.
作者: 試驗(yàn)    時(shí)間: 2025-3-24 10:21

作者: cruise    時(shí)間: 2025-3-24 14:01

作者: 香料    時(shí)間: 2025-3-24 16:28
Introduction,n processing and indicate the irresistible trend of their marriage in this big data era. After introducing the low-quality properties in visual data, it will be apparent why computational methods provide an effective way to cope with these defects in visual information processing. Then, four differe
作者: 不能逃避    時(shí)間: 2025-3-24 19:02
Sparse Structure for Visual Information Sensing: Theory and Algorithms,f compressive sensing, we will discuss the problem of low-rank structure learning (LRSL) from sparse outliers. Different from traditional approaches, which directly utilize convex norms to measure the sparseness, our method introduces more reasonable non-convex measurements to enhance the sparsity i
作者: Indurate    時(shí)間: 2025-3-25 00:53
Sparse Structure for Visual Signal Sensing: Application in 3D Reconstruction,m using a low rank structure learning model proposed in last chapter. With this framework, we construct the initial incomplete matrix from the observed point clouds by all cameras, with the invisible points by any camera denoted as unknown entries. The observed points corresponding to the same objec
作者: 嬉耍    時(shí)間: 2025-3-25 03:30
Graph Structure for Visual Signal Sensing,raction method called . (CTG) in the graph embedding framework. We introduce the usage of a robust probability metric, i.e., the commute time (CT), to extract visual features for face recognition via a manifold way. Then, we design the CTG optimization to find linear orthogonal projections that woul
作者: 傾聽(tīng)    時(shí)間: 2025-3-25 09:02
Discriminative Structure for Visual Signal Understanding,our method can be concluded as that differences among multiple images help visual recognition. Generally speaking, we propose a statistical framework to distinguish what kind of image features capture sufficient category information and what kind of image features are common ones shared in multiple
作者: Heresy    時(shí)間: 2025-3-25 12:21

作者: Increment    時(shí)間: 2025-3-25 18:44
Conclusion,dressed one topic (data sensing), discussed two computational frameworks (optimization and probabilistic inference), and coped with three “l(fā)ow-quality” drawbacks (redundancy, noise, and incompleteness).
作者: 同來(lái)核對(duì)    時(shí)間: 2025-3-25 19:58

作者: Malaise    時(shí)間: 2025-3-26 01:18
High-Dimensional and Low-Quality Visual Information Processing978-3-662-44526-6Series ISSN 2190-5053 Series E-ISSN 2190-5061
作者: troponins    時(shí)間: 2025-3-26 04:52
Yue DengNominated by Tsinghua University as an outstanding Ph.D. thesis.Proposes a number of computational models to handle the Big Data challenges in visual information processing.Solves a number of real-wor
作者: Awning    時(shí)間: 2025-3-26 08:38
Springer Theseshttp://image.papertrans.cn/h/image/426572.jpg
作者: Yourself    時(shí)間: 2025-3-26 12:42

作者: 嚴(yán)峻考驗(yàn)    時(shí)間: 2025-3-26 18:14
https://doi.org/10.1007/978-3-662-44526-6Compressive Sensing; Computer Vision; Discriminative Learning, Information Theory, Optimization; Image
作者: optic-nerve    時(shí)間: 2025-3-27 00:23
Discriminative Structure for Visual Signal Understanding,es help visual recognition within the bag-of-feature framework. The proposed method is verified on a variety of image categorization tasks including outdoor scene images, indoor scene images as well as the airborne SAR images from different perspectives.
作者: Maximize    時(shí)間: 2025-3-27 02:25
Information-Theoretic Structure for Visual Signal Understanding,ph metric. Meanwhile, the mutual information of descriptor-label pairs is ultimately optimized in the embedding space for the sake of enhancing the discriminant property of the selected codewords. According to such objective, two optimization models, i.e., inexact-GAMI and exact-GAMI, are, respectiv
作者: 盡管    時(shí)間: 2025-3-27 06:47

作者: Arboreal    時(shí)間: 2025-3-27 12:36

作者: CBC471    時(shí)間: 2025-3-27 17:03
Yue Dengid mechanics, numerical controls for distributed parameter systems, and solid and structural mechanics as well as shape optimization, stellar motion, electron transport, and semiconductor modeling. Two central 978-94-007-3128-8978-90-481-3239-3Series ISSN 1871-3033 Series E-ISSN 2543-0203
作者: 令人悲傷    時(shí)間: 2025-3-27 21:10

作者: Needlework    時(shí)間: 2025-3-28 01:06

作者: chemical-peel    時(shí)間: 2025-3-28 04:21

作者: 范例    時(shí)間: 2025-3-28 09:36
Yue Denggy. He has made seminal contributions in the areas of methods for science computation, fluid mechanics, numerical controls for distributed parameter systems, and solid and structural mechanics as well as shape optimization, stellar motion, electron transport, and semiconductor modeling. Two central




歡迎光臨 派博傳思國(guó)際中心 (http://www.yitongpaimai.cn/) Powered by Discuz! X3.5
鄯善县| 舟曲县| 漳浦县| 石狮市| 永春县| 莒南县| 临武县| 鹤岗市| 辽源市| 汉源县| 西吉县| 彭州市| 磐安县| 柯坪县| 敦化市| 伊金霍洛旗| 湘乡市| 曲阳县| 红河县| 三门峡市| 平度市| 务川| 恩平市| 湘阴县| 玛曲县| 阿瓦提县| 大渡口区| 界首市| 六盘水市| 西藏| 洪江市| 石嘴山市| 读书| 仙居县| 万山特区| 得荣县| 长治县| 浙江省| 息烽县| 清新县| 丹寨县|