標題: Titlebook: Machine Learning for Computer Vision; Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Book 2013 Springer-Verlag Berlin Heidelberg 2013 [打印本頁] 作者: GLOAT 時間: 2025-3-21 19:42
書目名稱Machine Learning for Computer Vision影響因子(影響力)
書目名稱Machine Learning for Computer Vision影響因子(影響力)學科排名
書目名稱Machine Learning for Computer Vision網(wǎng)絡公開度
書目名稱Machine Learning for Computer Vision網(wǎng)絡公開度學科排名
書目名稱Machine Learning for Computer Vision被引頻次
書目名稱Machine Learning for Computer Vision被引頻次學科排名
書目名稱Machine Learning for Computer Vision年度引用
書目名稱Machine Learning for Computer Vision年度引用學科排名
書目名稱Machine Learning for Computer Vision讀者反饋
書目名稱Machine Learning for Computer Vision讀者反饋學科排名
作者: 大約冬季 時間: 2025-3-21 21:39
Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition,f stels for different object types, as appropriate. Results on Caltech101 images show that this method is capable of automatically selecting a number of stels that reflects the complexity of the object class and that these stels are useful for object recognition.作者: 壁畫 時間: 2025-3-22 00:30
Book 2013 found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature..作者: mighty 時間: 2025-3-22 05:47
1860-949X es covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature..978-3-642-44686-3978-3-642-28661-2Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: nocturia 時間: 2025-3-22 12:42
Jeroen C. Chua,Inmar E. Givoni,Ryan P. Adams,Brendan J. Frey作者: 混雜人 時間: 2025-3-22 15:16
Jamie Shotton,Andrew Fitzgibbon,Mat Cook,Toby Sharp,Mark Finocchio,Richard Moore,Alex Kipman,Andrew 作者: STALE 時間: 2025-3-22 18:47 作者: acrophobia 時間: 2025-3-22 23:07 作者: 戲法 時間: 2025-3-23 02:23 作者: 存在主義 時間: 2025-3-23 06:35
Throwing Down the Visual Intelligence Gauntlet,the . approach of studying and reverse-engineering the networks of neurons in the human brain (specifically, the visual system). Finally, we discuss several possible future directions in the quest for visual intelligence.作者: incisive 時間: 2025-3-23 13:05
Scale-Invariant Vote-Based 3D Recognition and Registration from Point Clouds,rmance over the state of the art in both recognition and registration on a (real and) challenging dataset, by comparing our distance with others in a mean shift framework, as well as with the commonly used Hough voting approach.作者: 可忽略 時間: 2025-3-23 16:22 作者: 一罵死割除 時間: 2025-3-23 18:09 作者: 碎石頭 時間: 2025-3-24 01:43
Multiple Classifier Boosting and Tree-Structured Classifiers,ree-structured classifier, called Super tree, to further speed up the classification time of a standard boosting classifier. The proposed methods are demonstrated for object detection, tracking and segmentation tasks.作者: 會議 時間: 2025-3-24 04:38 作者: llibretto 時間: 2025-3-24 09:30 作者: 確認 時間: 2025-3-24 14:44
Throwing Down the Visual Intelligence Gauntlet,mains such as face detection and optical character recognition. However, the problem of producing truly intelligent machines still remains far from being solved. In this chapter, we first describe some of these recent advances, and then review one approach to moving beyond these limited successes – 作者: Stricture 時間: 2025-3-24 15:28 作者: 旅行路線 時間: 2025-3-24 20:34
Learning Binary Hash Codes for Large-Scale Image Search,ieval, and non-parametric models for object recognition. Recent work shows that ... are a powerful way to index large collections according to their content. The basic idea is to formulate the projections so as to approximately preserve a given similarity function of interest. Having done so, one ca作者: 話 時間: 2025-3-25 03:06
Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition,re factorized into intrinsic properties that are useful for subsequent tasks, such as object classification. It was previously shown how images and objects within images could be described as compositions of regions called structural elements or ‘stels’. In this way, transformations of the reflectan作者: 殺死 時間: 2025-3-25 04:26
Real-Time Human Pose Recognition in Parts from Single Depth Images,. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem. Our large and highly varied training dataset allows the classifier to estimate body parts invariant to pose, 作者: 閑逛 時間: 2025-3-25 08:34
Scale-Invariant Vote-Based 3D Recognition and Registration from Point Clouds,irect similarity transformations for the first time. We introduce a new distance between poses in this space—the SRT distance. It is left-invariant, unlike Euclidean distance, and has a unique, closed-form mean, in contrast to Riemannian distance, so is fast to compute. We demonstrate improved perfo作者: 招人嫉妒 時間: 2025-3-25 11:45 作者: encomiast 時間: 2025-3-25 17:04 作者: 性行為放縱者 時間: 2025-3-25 21:25
Applications of Computer Vision to Vehicles: An Extreme Test,that period: a passenger car was equipped with sensing and actuation devices and was tested with autonomous steering along a 2000+ km on Italian highways [5]..VisLab then contiuned its efforts within this very promising research domain; it partnered with different companies and implemented the perce作者: Harrowing 時間: 2025-3-26 02:18 作者: 云狀 時間: 2025-3-26 05:51
Machine Learning for Computer Vision978-3-642-28661-2Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 執(zhí)拗 時間: 2025-3-26 10:00
Roberto Cipolla,Sebastiano Battiato,Giovanni MariaRecent research on Computer Vision and Machine Learning for Image and Video Analysis.Edited outcome of the two International Computer Vision Summer Schools ICVSS taking place in 2009 and 2010.Written 作者: Affluence 時間: 2025-3-26 12:53 作者: 珊瑚 時間: 2025-3-26 17:10
Simultaneous Detection and Tracking with Multiple Cameras,on and event recognition. The multi-camera tracking problem has been mostly addressed in the literature as detection-based tracking: objects of interest (targets) are first detected and then associated over time [1]. Data from different cameras can be combined either after tracking (in .???. approaches) or before tracking (in .???. approaches).作者: CORE 時間: 2025-3-26 23:45
https://doi.org/10.1007/978-3-642-28661-2Computational Intelligence; Computer Vision; Image Analyis; Machine Learning; Video Analysis作者: 集合 時間: 2025-3-27 01:42 作者: 鋼筆記下懲罰 時間: 2025-3-27 09:10 作者: 流動才波動 時間: 2025-3-27 09:40
Adaptive Input Shaping for Flexible Systems Using an Extreme Learning Machine Algorithm Identification,ly time-varying flexible systems. Firstly, the ZRV condition and the traditional adaptive input-shaper is reviewed, together with its disadvantages of insufficient adaptability caused by giant amount of data and low-accuracy calculation caused by noise. After that, online sequential-ELM (OS-ELM) alg作者: 流眼淚 時間: 2025-3-27 13:57
Neuroregulation of Appetitegulated via an ongoing process called energy homeostasis, or the long-term matching of food intake to energy expenditure. Reductions from an individual’s “normal” weight due to lack of sufficient food lowers levels of adiposity signals (leptin and insulin) reaching the brain from the blood, activate作者: 閑蕩 時間: 2025-3-27 20:05
operative Umsetzung.L?sungsvorschl?ge für PersonalverantworDas Buch zeigt am Beispiel von BMW, wie durch die Einführung von Telearbeit die Flexibilit?t und Effizienz im Unternehmen gesteigert werden k?nnen. Dies gilt auch für die Bereiche Entwicklung, Forschung oder selbst Produktion. Personalveran作者: GOUGE 時間: 2025-3-28 01:17 作者: narcissism 時間: 2025-3-28 03:41
Building a Lightweight Container-Based Experimental Platform for HPC Education teachers, and administrators respectively. It is convenient for a user to access high-performance computing resources via a web portal, use highly customizable basic environments and have nice graphical hands-on interactive HPC learning experiences from our platform.作者: 共棲 時間: 2025-3-28 07:41
Testing Feminist Fairy Tale Studiesscuss the methods of MRD evaluation in lymphoid and plasma cell disorders following transplantation with the ultimate aim of providing critical information for the setup of molecular approaches to detect MRD.作者: AVANT 時間: 2025-3-28 12:33
J. Weiss,W. A. Kayssertruction is essentially destructive and even that it destroys everything we, as members of civilized societies, ought to work to preserve from destruction, which is to say, everything we love, as well as everything we are told we ought to love. Beginning with love itself. At its core, this resistanc作者: 有發(fā)明天才 時間: 2025-3-28 16:34
,Improving Near-Surface Weather Forecasts with Strongly Coupled Land–Atmosphere Data Assimilation,d a strong coupling between soil moisture and the low-level atmosphere, especially the atmospheric boundary layer. Then, the weakly and strongly coupled land–atmosphere data assimilation methods were compared regarding their influence on the prediction of near-surface atmospheric conditions. Results作者: sclera 時間: 2025-3-28 21:16 作者: Palpitation 時間: 2025-3-28 23:32 作者: enterprise 時間: 2025-3-29 05:15 作者: 柱廊 時間: 2025-3-29 09:35
Pradeep K. Aggarwal,Joel R. Gat,Klaus F.O. FroehliAn up-to-date synthesis of environmental isotope techniques in the hydrological cycle and related environmental studies including past and present climate change and water resources assessment and man
