標(biāo)題: Titlebook: Computer Analysis of Images and Patterns; 18th International C Mario Vento,Gennaro Percannella Conference proceedings 2019 Springer Nature [打印本頁] 作者: 機(jī)會(huì) 時(shí)間: 2025-3-21 19:47
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)
書目名稱Computer Analysis of Images and Patterns影響因子(影響力)學(xué)科排名
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Analysis of Images and Patterns被引頻次
書目名稱Computer Analysis of Images and Patterns被引頻次學(xué)科排名
書目名稱Computer Analysis of Images and Patterns年度引用
書目名稱Computer Analysis of Images and Patterns年度引用學(xué)科排名
書目名稱Computer Analysis of Images and Patterns讀者反饋
書目名稱Computer Analysis of Images and Patterns讀者反饋學(xué)科排名
作者: 確定的事 時(shí)間: 2025-3-21 21:08 作者: LIMN 時(shí)間: 2025-3-22 03:30
,Groupes à croissance polynomiale, estimate 3D human poses from a monocular camera. To show the validity of our method, we propose a 3D skeleton-based two-stage action detection approach. For localizing actions in unsegmented sequences, Relative Joint Position (RJP) and Histogram Of Displacements (HOD) are used as inputs to a k-near作者: 浮雕寶石 時(shí)間: 2025-3-22 07:18 作者: 高度 時(shí)間: 2025-3-22 11:13 作者: 挑剔小責(zé) 時(shí)間: 2025-3-22 14:08 作者: 挑剔小責(zé) 時(shí)間: 2025-3-22 21:01 作者: prodrome 時(shí)間: 2025-3-22 22:52
https://doi.org/10.1007/BFb0059240hen studying Inorganic nanoparticles using TEM is the automated analysis of the images, i.e. segmentation of individual nanoparticles. The current state-of-the-art methods generally rely on binarization routines that require parameterization, and on methods to segment the overlapping nanoparticles (作者: 嚙齒動(dòng)物 時(shí)間: 2025-3-23 01:57 作者: laxative 時(shí)間: 2025-3-23 08:30 作者: infantile 時(shí)間: 2025-3-23 10:47
,Introduction a la théorie des résidus, of volumes of blurred-invariant features in three main following stages. First, a 3-dimensional Gaussian kernel is used to form smoothed sequences that allow to deal with well-known limitations of local encoding such as near uniform regions and sensitivity to noise. Second, a receptive volume of th作者: NOMAD 時(shí)間: 2025-3-23 16:08 作者: 有權(quán) 時(shí)間: 2025-3-23 21:15
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233440.jpg作者: 安心地散步 時(shí)間: 2025-3-23 22:24 作者: gerrymander 時(shí)間: 2025-3-24 05:47
978-3-030-29887-6Springer Nature Switzerland AG 2019作者: 多產(chǎn)魚 時(shí)間: 2025-3-24 07:04 作者: 感情脆弱 時(shí)間: 2025-3-24 11:17 作者: 縫紉 時(shí)間: 2025-3-24 15:45 作者: endarterectomy 時(shí)間: 2025-3-24 20:44
Conference proceedings 2019e papers are organized in the following topical sections: Intelligent Systems; Real-time and GPU Processing; Image Segmentation; Image and Texture Analysis; Machine Learning for Image and Pattern Analysis; Data Sets and Benchmarks; Structural and Computational Pattern Recognition; Posters..作者: 鞭打 時(shí)間: 2025-3-24 23:35
,Complétude et théorème du graphe fermé,based methods such as coherence-enhancing diffusion, our method can handle the missing wedge problem in EM, also known as limited angle tomography problem. A modified version of our approach is also able to tackle the discontinuities created due to the contrast transfer function correction of EM images.作者: sacrum 時(shí)間: 2025-3-25 04:05
,Le théorème de dunford-pettis généralisé,radius values. Our proposal is an enhancement of the classic complex networks descriptors, where only the statistical information was considered. Our method was validated on four texture datasets and the results reveal that our method leads to highly discriminative textural features.作者: Adenocarcinoma 時(shí)間: 2025-3-25 07:41
Espaces analytiquement uniformes,stinal parasite images. The study uses three image datasets, with a total of 15 different species of parasites, and a diverse class, namely impurity, which makes the problem difficult with examples similar to all the remaining classes of parasites.作者: figure 時(shí)間: 2025-3-25 13:25
Hough Based Evolutions for Enhancing Structures in 3D Electron Microscopybased methods such as coherence-enhancing diffusion, our method can handle the missing wedge problem in EM, also known as limited angle tomography problem. A modified version of our approach is also able to tackle the discontinuities created due to the contrast transfer function correction of EM images.作者: arthroplasty 時(shí)間: 2025-3-25 19:02
A Fractal-Based Approach to Network Characterization Applied to Texture Analysisradius values. Our proposal is an enhancement of the classic complex networks descriptors, where only the statistical information was considered. Our method was validated on four texture datasets and the results reveal that our method leads to highly discriminative textural features.作者: 讓步 時(shí)間: 2025-3-25 22:56
Learning Visual Dictionaries from Class-Specific Superpixel Segmentationstinal parasite images. The study uses three image datasets, with a total of 15 different species of parasites, and a diverse class, namely impurity, which makes the problem difficult with examples similar to all the remaining classes of parasites.作者: 放棄 時(shí)間: 2025-3-26 03:55
https://doi.org/10.1007/BFb0097185nd, it models the Tumor evolution through time thanks to its dynamic aspect. While, to represent the biological interactions, we use a Hierarchical Bayesian Network where we associate a level for each scale (Tissue, ., cell scale). Thus, the HMM induces a Dynamic Hierarchical Bayesian Network that encodes the tumor growth aspects and factors.作者: 高度贊揚(yáng) 時(shí)間: 2025-3-26 07:57 作者: 遭遇 時(shí)間: 2025-3-26 11:52 作者: 極大痛苦 時(shí)間: 2025-3-26 15:36
HMDHBN: Hidden Markov Inducing a Dynamic Hierarchical Bayesian Network for Tumor Growth Predictionnd, it models the Tumor evolution through time thanks to its dynamic aspect. While, to represent the biological interactions, we use a Hierarchical Bayesian Network where we associate a level for each scale (Tissue, ., cell scale). Thus, the HMM induces a Dynamic Hierarchical Bayesian Network that encodes the tumor growth aspects and factors.作者: 賠償 時(shí)間: 2025-3-26 16:48 作者: ACME 時(shí)間: 2025-3-26 23:54
Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classificationn DT understanding. Finally, a local encoding operator is addressed to construct a discriminative descriptor of enhancing patterns extracted from the filtered volumes. Evaluations on benchmark datasets (i.e., UCLA, DynTex, and DynTex++) for issue of DT classification have positively validated our crucial contributions.作者: CRUMB 時(shí)間: 2025-3-27 02:51 作者: 胡言亂語 時(shí)間: 2025-3-27 07:11 作者: 顧客 時(shí)間: 2025-3-27 13:22 作者: 濃縮 時(shí)間: 2025-3-27 15:03 作者: maudtin 時(shí)間: 2025-3-27 20:22 作者: Galactogogue 時(shí)間: 2025-3-27 22:42
Skin Lesion Segmentation Ensemble with Diverse Training StrategiesCNN) to focus on different features. An encoder-decoder segmentation CNN is employed to take advantage of each pre-trained features extractor. Experimental results reveal how multiple initialization strategies can be exploited, by means of an ensemble method, to obtain state-of-the-art skin lesion segmentation accuracy.作者: 斷言 時(shí)間: 2025-3-28 03:20 作者: hair-bulb 時(shí)間: 2025-3-28 07:30 作者: Barter 時(shí)間: 2025-3-28 13:44 作者: 誘惑 時(shí)間: 2025-3-28 16:33
https://doi.org/10.1007/BFb0059240zation, contour evidence extraction, and contour estimation. For the binarization, a model based on the U-Net architecture is trained to convert an input image into its binarized version. The contour evidence extraction starts by recovering contour segments from a binarized image using concave conto作者: 榮幸 時(shí)間: 2025-3-28 18:54
MIVIABot: A Cognitive Robot for Smart Museumsetup. Improved robustness and predictable latency is obtained avoiding the use of cloud services in the system..Our robot, that we call MIVIABot, is able to decode and understand speech as well as extract soft biometrics from its interlocutor such as age, gender and emotional status. The robot can 作者: 刺耳 時(shí)間: 2025-3-29 02:53
How Does Connected Components Labeling with Decision Trees Perform on GPUs?ration does not necessarily apply to every possible scenario. Are we sure that the advantages of decision trees do not compensate for the cost of thread divergence? In order to answer this question, we chose three well-known sequential CCL algorithms, which employ decision trees as the cornerstone o作者: MAIZE 時(shí)間: 2025-3-29 03:13
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Boundzation, contour evidence extraction, and contour estimation. For the binarization, a model based on the U-Net architecture is trained to convert an input image into its binarized version. The contour evidence extraction starts by recovering contour segments from a binarized image using concave conto作者: CALL 時(shí)間: 2025-3-29 09:57
A Real-Time Processing Stand-Alone Multiple Object Visual Tracking System作者: 連鎖 時(shí)間: 2025-3-29 13:57 作者: instulate 時(shí)間: 2025-3-29 19:03 作者: 符合你規(guī)定 時(shí)間: 2025-3-29 20:07 作者: moratorium 時(shí)間: 2025-3-30 03:25 作者: 認(rèn)識(shí) 時(shí)間: 2025-3-30 04:45
How Does Connected Components Labeling with Decision Trees Perform on GPUs?pective. In the last decade, many novel algorithms have been released, specifically designed for GPUs. Because CCL literature concerning sequential algorithms is very rich, and includes many efficient solutions, designers of parallel algorithms were often inspired by techniques that had already prov作者: 織物 時(shí)間: 2025-3-30 10:50
A Compact Light Field Camera for Real-Time Depth Estimationches demonstrate the technical feasibility, they can not be brought into real-world application, since they have both a high computation time as well as a large design. Exactly these two drawbacks are overcome in this paper. For the first time, we present a depth camera based on the light field prin作者: Carminative 時(shí)間: 2025-3-30 13:48 作者: 裝飾 時(shí)間: 2025-3-30 17:19 作者: 合群 時(shí)間: 2025-3-30 23:59
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Boundhen studying Inorganic nanoparticles using TEM is the automated analysis of the images, i.e. segmentation of individual nanoparticles. The current state-of-the-art methods generally rely on binarization routines that require parameterization, and on methods to segment the overlapping nanoparticles (作者: 故意釣到白楊 時(shí)間: 2025-3-31 03:40
A Fractal-Based Approach to Network Characterization Applied to Texture Analysisdeled as a network. Then, the network is converted into a surface where the Cartesian coordinates and the vertex degree is mapped into a 3D point in the surface. Then, we calculate a description vector of this surface using a method inspired by the Bouligand-Minkowski technique for estimating the fr作者: 上下倒置 時(shí)間: 2025-3-31 05:36
Binary Tomography Using Variants of Local Binary Patterns as Texture Priorsdetermined and one way to reduce the search space of feasible solutions is to exploit some prior knowledge of the image to be reconstructed. We use texture information extracted from sample image patches as prior knowledge. Experimental results show that this approach can retain the structure of the作者: Grasping 時(shí)間: 2025-3-31 10:07
