標(biāo)題: Titlebook: Applications of Discrete Geometry and Mathematical Morphology; First International Ullrich K?the,Annick Montanvert,Pierre Soille Conferenc [打印本頁] 作者: 機(jī)會 時間: 2025-3-21 17:23
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書目名稱Applications of Discrete Geometry and Mathematical Morphology影響因子(影響力)學(xué)科排名
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書目名稱Applications of Discrete Geometry and Mathematical Morphology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applications of Discrete Geometry and Mathematical Morphology被引頻次
書目名稱Applications of Discrete Geometry and Mathematical Morphology被引頻次學(xué)科排名
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書目名稱Applications of Discrete Geometry and Mathematical Morphology讀者反饋
書目名稱Applications of Discrete Geometry and Mathematical Morphology讀者反饋學(xué)科排名
作者: Rheumatologist 時間: 2025-3-21 23:19 作者: 臥虎藏龍 時間: 2025-3-22 01:47
Discrete Curvature Estimation Methods for Triangulated Surfaces,cus our attention on concentrated curvature which is generally used to estimate Gaussian curvature. We present a result that shows that concentrated curvature can also be used to estimate mean curvature and hence principal curvatures. This makes concentrated curvature one of the fundamental notions 作者: 跑過 時間: 2025-3-22 07:11 作者: 個人長篇演說 時間: 2025-3-22 09:35
Radial Moment Invariants for Attribute Filtering in 3D,r problems in which accurate shape analysis is of importance. However, there are still comparatively few attributes for 3D filtering upon which to select features of interest besides, efficient and fast computation of attributes from volumetric data is still a daunting challenge. In particular, wher作者: Champion 時間: 2025-3-22 15:41
Volumetric Analysis of Digital Objects Using Distance Transformation: Performance Issues and Extensature, recent articles have demonstrated that fast algorithms can be designed without any approximation of the Euclidean metric. The aim of the paper is to first give an overview of separable techniques to compute the distance transformation, the reverse distance transformation and a discrete medial作者: Infirm 時間: 2025-3-22 17:15
Geometric Analysis of 3D Electron Microscopy Data,loped to make the system applicable to data as large as eight gigavoxels. Discrete geometry plays a prominent role at several processing stages (initial watershed segmentation, cell complex representation, reduction of oversegmentation by a graphical model, topological and geometric feature computat作者: BYRE 時間: 2025-3-22 22:14 作者: 織物 時間: 2025-3-23 03:01
Fast Planarity Estimation and Region Growing on GPU,culated by combining the output of a number of planarity filters. We also demonstrate the use of the local planarity as a criterium for region growing. This region growing is then further optimized using a parallel implementation. The sparse nature of these filters and the inherent parallelism of th作者: hair-bulb 時間: 2025-3-23 06:42 作者: notion 時間: 2025-3-23 10:27
,A New Image-Mining Technique for Automation of Parkinson’s Disease Research,in striatum section images. The latter are used to construct a Parkinson’s disease model at a preclinical stage. Experimental applications of the developed technique have confirmed its high efficiency and suitability for automated processing and analysis of brain section images (a 200 times increase作者: 魯莽 時間: 2025-3-23 16:36 作者: Ossification 時間: 2025-3-23 19:42 作者: intercede 時間: 2025-3-23 23:55 作者: Polydipsia 時間: 2025-3-24 06:19
Advancements in YARN Resource Managerge representations have gained renewed interest for segmentation purposes. In this paper, we briefly survey fundamental results on hierarchical clustering and then detail recent paradigms developed for the hierarchical representation of images in the framework of mathematical morphology: constrained作者: anagen 時間: 2025-3-24 08:03
https://doi.org/10.1007/978-3-319-77525-8r problems in which accurate shape analysis is of importance. However, there are still comparatively few attributes for 3D filtering upon which to select features of interest besides, efficient and fast computation of attributes from volumetric data is still a daunting challenge. In particular, wher作者: magnate 時間: 2025-3-24 12:45
Encyclopedia of Big Data Technologiesature, recent articles have demonstrated that fast algorithms can be designed without any approximation of the Euclidean metric. The aim of the paper is to first give an overview of separable techniques to compute the distance transformation, the reverse distance transformation and a discrete medial作者: 斷斷續(xù)續(xù) 時間: 2025-3-24 16:54
Encyclopedia of Big Data Technologiesloped to make the system applicable to data as large as eight gigavoxels. Discrete geometry plays a prominent role at several processing stages (initial watershed segmentation, cell complex representation, reduction of oversegmentation by a graphical model, topological and geometric feature computat作者: overrule 時間: 2025-3-24 20:01 作者: 讓空氣進(jìn)入 時間: 2025-3-24 23:59 作者: travail 時間: 2025-3-25 04:29 作者: 不愛防注射 時間: 2025-3-25 10:23 作者: 搖擺 時間: 2025-3-25 14:32
Digital Shape Analysis with Maximal Segments,ntly computable. They can be used to prove the multigrid convergence of several geometric estimators. Their asymptotic properties can be used to estimate the local amount of noise along the shape, through a multiscale analysis.作者: 窩轉(zhuǎn)脊椎動物 時間: 2025-3-25 19:29 作者: 過份好問 時間: 2025-3-25 22:33
Ullrich K?the,Annick Montanvert,Pierre SoilleUp-to-date results.Fast track conference proceedings.State-of-the-art report作者: HEW 時間: 2025-3-26 00:12
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/159373.jpg作者: 祝賀 時間: 2025-3-26 08:20 作者: 減弱不好 時間: 2025-3-26 08:37 作者: Mingle 時間: 2025-3-26 16:39
Ananth Gundabattula,Thomas Weisecus our attention on concentrated curvature which is generally used to estimate Gaussian curvature. We present a result that shows that concentrated curvature can also be used to estimate mean curvature and hence principal curvatures. This makes concentrated curvature one of the fundamental notions in discrete computational geometry.作者: Instantaneous 時間: 2025-3-26 19:46
https://doi.org/10.1007/978-3-642-32313-3evolutionary algorithm; generic programming; graphs; machine learning; medical image analysis; algorithm 作者: 偶像 時間: 2025-3-27 00:36 作者: Fsh238 時間: 2025-3-27 02:33 作者: 使人煩燥 時間: 2025-3-27 05:30 作者: 結(jié)束 時間: 2025-3-27 11:09
Encyclopedia of Big Data Technologiesis to first give an overview of separable techniques to compute the distance transformation, the reverse distance transformation and a discrete medial axis extraction with the Euclidean metric. Then we will focus on performance issues and different extensions of these techniques.作者: neolith 時間: 2025-3-27 13:40 作者: Exposition 時間: 2025-3-27 20:26 作者: Conjuction 時間: 2025-3-28 00:42 作者: laxative 時間: 2025-3-28 02:21
Anti-spoofing, Evaluation Methodologiesthe Generic Programming paradigm in which an algorithm on the paper can be turned into a single code, written once and usable with various input types. This approach enables users to design and implement new methods at a lower cost, try cross-domain experiments and help generalize results.作者: Blazon 時間: 2025-3-28 09:50 作者: 不持續(xù)就爆 時間: 2025-3-28 13:08
Volumetric Analysis of Digital Objects Using Distance Transformation: Performance Issues and Extensis to first give an overview of separable techniques to compute the distance transformation, the reverse distance transformation and a discrete medial axis extraction with the Euclidean metric. Then we will focus on performance issues and different extensions of these techniques.作者: 壓艙物 時間: 2025-3-28 15:17 作者: Shuttle 時間: 2025-3-28 22:33
Machine Learning as a Preprocessing Phase in Discrete Tomography,hine learning can be used in . as a preprocessing step in order to choose the proper reconstruction algorithm or – with the aid of the knowledge acquired – to improve its accuracy. We also show how to design new evolutionary reconstruction methods that can exploit the information gained by machine learning classifiers.作者: 空洞 時間: 2025-3-28 23:31
Fast Planarity Estimation and Region Growing on GPU,. This region growing is then further optimized using a parallel implementation. The sparse nature of these filters and the inherent parallelism of the filter bank allow a fast implementation on a parallel processor architecture such as the Compute Unified Device Architecture (CUDA) from nVIDIA.作者: 潛伏期 時間: 2025-3-29 05:31 作者: 殘暴 時間: 2025-3-29 10:29 作者: 和藹 時間: 2025-3-29 11:45 作者: Gingivitis 時間: 2025-3-29 18:28
Advancements in YARN Resource Managerf desired constraints are satisfied. The framework of ultrametric watersheds provides a generic scheme for computing any hierarchical connected clustering, in particular when such a hierarchy is constrained. The suitability of this framework for solving practical problems is illustrated with applications in remote sensing.作者: 加劇 時間: 2025-3-29 19:46
