書目名稱Graph-Based Representations in Pattern Recognition影響因子(影響力)學(xué)科排名
書目名稱Graph-Based Representations in Pattern Recognition網(wǎng)絡(luò)公開度
書目名稱Graph-Based Representations in Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Graph-Based Representations in Pattern Recognition被引頻次
書目名稱Graph-Based Representations in Pattern Recognition被引頻次學(xué)科排名
書目名稱Graph-Based Representations in Pattern Recognition年度引用
書目名稱Graph-Based Representations in Pattern Recognition年度引用學(xué)科排名
書目名稱Graph-Based Representations in Pattern Recognition讀者反饋
書目名稱Graph-Based Representations in Pattern Recognition讀者反饋學(xué)科排名
作者: NORM 時間: 2025-3-21 21:31
The Plenum Behavior Therapy Series BP matching is actually carried out?(otherwise the document graph is rejected). In an experimental evaluation on two benchmark datasets we show that about 50% or more of the matchings can be omitted with this procedure while the KWS accuracy is not negatively affected.作者: 獸皮 時間: 2025-3-22 03:15
Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernelsivity structure of its corpus callosum, the main hub of connections between the left and right hemispheres of the brain. Furthermore, we study the behavior of different graph kernels for this task. This work opens new opportunities to identify DWI-based biomarkers of neurodegenerative and psychiatric diseases.作者: 弄臟 時間: 2025-3-22 05:20
Speeding-Up Graph-Based Keyword Spotting in Historical Handwritten Documents BP matching is actually carried out?(otherwise the document graph is rejected). In an experimental evaluation on two benchmark datasets we show that about 50% or more of the matchings can be omitted with this procedure while the KWS accuracy is not negatively affected.作者: 不足的東西 時間: 2025-3-22 10:02
https://doi.org/10.1007/978-94-009-6054-1nd and foreground measurements together to obtain a more accurate saliency estimation. Experimental evaluations on four benchmark datasets demonstrate the benefits and effectiveness of the proposed method.作者: 嬰兒 時間: 2025-3-22 15:31 作者: 嬰兒 時間: 2025-3-22 20:32
Models of Capitalism in the European Unionyhedral. While the definition of the Reeb graph perfectly makes sense also in the polyhedral case, it is not straightforward to see that the output of the transform in this case is a graph. This paper is devoted to provide a formal guarantee of this fact.作者: Measured 時間: 2025-3-22 23:47
Models of Discovery and Creativityext. For this, we propose a representation based on a parametrized model graph, and optimize it to increase a classification rate. Experimental evaluations on real datasets demonstrate the effectiveness (in terms of accuracy and speed) of our approach against graph classification with hand-crafted cost functions.作者: goodwill 時間: 2025-3-23 02:08
International Studies in Economic Modellingaces. We show that the proposed kernel simultaneously considers the local and global graph characteristics in terms of the complexity traces, but also provides richer statistic measures by incorporating the whole spectrum of alignment costs between these traces. Our experiments demonstrate the effectiveness and efficiency of the proposed kernel.作者: 低三下四之人 時間: 2025-3-23 07:06
https://doi.org/10.1007/978-1-4684-5430-7 to generate a hierarchy able to deal with different levels of abstraction while keeping information about the topology. For the proposed representations, a coarse-to-fine matching method is defined. These approaches are validated using real scenarios such as classification of colour images and handwritten word spotting.作者: Expressly 時間: 2025-3-23 13:06
https://doi.org/10.1007/978-1-4612-4788-3parameters of the graph edit distance. We propose in this paper a new formulation of the bipartite graph matching algorithm designed to solve efficiently the associated graph edit distance problem. The resulting algorithm requires . memory space and . execution times.作者: 熟練 時間: 2025-3-23 15:25
Annikki M?kel?,Harry T. Valentineerant graph-matching algorithm that it is linear with respect to the order of the graphs. Our method needs an initial seed, which is composed of one or several node-to-node mappings. The algorithm has been applied to analyse the friendship variability of social nets.作者: legacy 時間: 2025-3-23 21:13 作者: 審問,審訊 時間: 2025-3-24 00:02
Shape Simplification Through Graph Sparsificationpart edges. Applying this idea to alpha shapes (abstract representations which have a huge number of edges) opens up a way of introducing a hierarchy of the edge strength, thus being relevant for shape analysis and interpretation.作者: Irrepressible 時間: 2025-3-24 02:23
Reeb Graphs of Piecewise Linear Functionsyhedral. While the definition of the Reeb graph perfectly makes sense also in the polyhedral case, it is not straightforward to see that the output of the transform in this case is a graph. This paper is devoted to provide a formal guarantee of this fact.作者: generic 時間: 2025-3-24 07:49 作者: OWL 時間: 2025-3-24 13:57 作者: 走路左晃右晃 時間: 2025-3-24 18:52 作者: 比目魚 時間: 2025-3-24 20:40 作者: 一夫一妻制 時間: 2025-3-25 02:33 作者: 錫箔紙 時間: 2025-3-25 05:04 作者: 笨拙的你 時間: 2025-3-25 10:27
Shape Simplification Through Graph Sparsificationle of graph sparsification is to retain only the edges which are key to the preservation of desired properties. In this regard, sparsification by edge resistance allows us to preserve (to some extent) links between protrusions and the remainder of the shape (e.g. parts of a shape) while removing in-作者: 性上癮 時間: 2025-3-25 13:15 作者: 蚊帳 時間: 2025-3-25 17:09 作者: NEEDY 時間: 2025-3-25 23:12
Learning Graph Matching with a Graph-Based Perceptron in a Classification Contextccurate approximations have led to significant progress in a wide range of applications. Learning graph matching functions from observed data, however, still remains a challenging issue. This paper presents an effective scheme to parametrize a graph model for object matching in a classification cont作者: 鉗子 時間: 2025-3-26 03:39
A Nested Alignment Graph Kernel Through the Dynamic Time Warping Frameworkfically, for a pair of graphs, we commence by computing the depth-based complexity traces rooted at the centroid vertices. The resulting kernel for the graphs is defined by measuring the global alignment kernel, which is developed through the dynamic time warping framework, between the complexity tr作者: 錯 時間: 2025-3-26 04:49 作者: 平躺 時間: 2025-3-26 10:33 作者: 神刊 時間: 2025-3-26 13:41
Detecting Alzheimer’s Disease Using Directed Graphss. However, the structure of the directed networks representing the activation patterns, and their differences in healthy and Alzheimer’s people remain poorly understood. In this paper, we aim to identify the differences in fMRI activation network structure for patients with AD, late mild cognitive 作者: Simulate 時間: 2025-3-26 20:41
Error-Tolerant Coarse-to-Fine Matching Model for Hierarchical Graphs database of graphs implies a high computational complexity. Moreover, these representations are very sensitive to noise or small changes. In this work, a novel hierarchical graph representation is designed. Using graph clustering techniques adapted from graph-based social media analysis, we propose作者: 雪上輕舟飛過 時間: 2025-3-26 21:27
A Hungarian Algorithm for Error-Correcting Graph Matchingistance of two graphs. However, the memory requirements and execution times of this method are respectively proportional to . and . where . and . are the order of the graphs. Subsequent developments reduced these complexities. However, these improvements are valid only under some constraints on the 作者: FLUSH 時間: 2025-3-27 02:57 作者: electrolyte 時間: 2025-3-27 05:25 作者: COKE 時間: 2025-3-27 11:03 作者: 悄悄移動 時間: 2025-3-27 17:40 作者: ANNUL 時間: 2025-3-27 21:26 作者: allergy 時間: 2025-3-28 00:42 作者: Disk199 時間: 2025-3-28 02:31 作者: PHON 時間: 2025-3-28 07:12
Models of Discovery and Creativityccurate approximations have led to significant progress in a wide range of applications. Learning graph matching functions from observed data, however, still remains a challenging issue. This paper presents an effective scheme to parametrize a graph model for object matching in a classification cont作者: Occipital-Lobe 時間: 2025-3-28 11:50 作者: 參考書目 時間: 2025-3-28 16:05
https://doi.org/10.1007/978-94-007-5219-1le a number of different approaches have been presented, a quantitative evaluation of those algorithms remains a challenging task: Manual generation of ground truth for real-world data is often time-consuming and error-prone, and while tools for generating synthetic datasets with corresponding groun作者: 獨輪車 時間: 2025-3-28 19:04 作者: 準(zhǔn)則 時間: 2025-3-28 23:57 作者: Brocas-Area 時間: 2025-3-29 06:00
https://doi.org/10.1007/978-1-4684-5430-7 database of graphs implies a high computational complexity. Moreover, these representations are very sensitive to noise or small changes. In this work, a novel hierarchical graph representation is designed. Using graph clustering techniques adapted from graph-based social media analysis, we propose作者: ALB 時間: 2025-3-29 11:11
https://doi.org/10.1007/978-1-4612-4788-3istance of two graphs. However, the memory requirements and execution times of this method are respectively proportional to . and . where . and . are the order of the graphs. Subsequent developments reduced these complexities. However, these improvements are valid only under some constraints on the 作者: 變白 時間: 2025-3-29 13:16 作者: 充氣女 時間: 2025-3-29 15:51 作者: Kindle 時間: 2025-3-29 21:29
https://doi.org/10.1007/978-981-15-1255-1of interactions that emerge from such systems. Several measures have been introduced to analyse these networks, and among them one of the most fundamental ones is vertex centrality, which quantifies the importance of a vertex within a graph. In this paper, we propose a novel vertex centrality measur作者: 南極 時間: 2025-3-30 03:21 作者: HAIRY 時間: 2025-3-30 04:13
https://doi.org/10.1007/978-94-007-5219-1 require ground truth data. Moreover, available ground truth information can be incorporated to additionally evaluate the correctness of the graph extraction algorithm. We demonstrate the usefulness and applicability of our approach in an exemplary study on synthetic and real-world data.作者: 條約 時間: 2025-3-30 10:42 作者: 救護(hù)車 時間: 2025-3-30 12:52 作者: 闡明 時間: 2025-3-30 19:24 作者: 全國性 時間: 2025-3-30 20:56
Graph-Based Representations in Pattern Recognition
