標(biāo)題: Titlebook: Advances in Visual Computing; 13th International S George Bebis,Richard Boyle,Jonathan Ventura Conference proceedings 2018 Springer Nature [打印本頁] 作者: Wilder 時(shí)間: 2025-3-21 16:32
書目名稱Advances in Visual Computing影響因子(影響力)
書目名稱Advances in Visual Computing影響因子(影響力)學(xué)科排名
書目名稱Advances in Visual Computing網(wǎng)絡(luò)公開度
書目名稱Advances in Visual Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Visual Computing被引頻次
書目名稱Advances in Visual Computing被引頻次學(xué)科排名
書目名稱Advances in Visual Computing年度引用
書目名稱Advances in Visual Computing年度引用學(xué)科排名
書目名稱Advances in Visual Computing讀者反饋
書目名稱Advances in Visual Computing讀者反饋學(xué)科排名
作者: happiness 時(shí)間: 2025-3-22 00:17 作者: DOTE 時(shí)間: 2025-3-22 01:05 作者: 作繭自縛 時(shí)間: 2025-3-22 08:28
Robust Incremental Hidden Conditional Random Fields for Human Action Recognitiona robust mixture of Student’s .-distributions is imposed as a regularizer to the parameters of the model. The experimental results on human action recognition show that RI-HCRF successfully estimates the number of hidden states and outperforms all state-of-the-art models.作者: 輕浮女 時(shí)間: 2025-3-22 10:08
Conservation and the Common Good,ety of automatic registration methods, and evaluate algorithm performance in the context of serial image registration. We find that intensity-based methods are consistent in performance, while feature-based methods can perform better, but are also more variable in success. Ultimately a combined algo作者: minaret 時(shí)間: 2025-3-22 14:50
Rare and Endangered Plants in Chinauomotor control of its eyes, head, and four limbs to perform tasks involving the foveation and visual pursuit of target objects coupled with visually-guided reaching actions to intercept the moving targets.作者: 有害處 時(shí)間: 2025-3-22 20:58
Cristiana Nunes,Paulina Faria,Nuno Garciastage, which outperforms state-of-the-art results concerning the trade-off between accuracy and dimensionality of the final video representation. Also, the relevance analysis allows to increase the video data interpretability, by ranking trajectory-aligned descriptors according to their importance t作者: BATE 時(shí)間: 2025-3-22 21:54
Cristiana Nunes,Paulina Faria,Nuno Garciaa robust mixture of Student’s .-distributions is imposed as a regularizer to the parameters of the model. The experimental results on human action recognition show that RI-HCRF successfully estimates the number of hidden states and outperforms all state-of-the-art models.作者: coagulate 時(shí)間: 2025-3-23 03:54
Rotation Symmetry Object Classification Using Structure Constrained Convolutional Neural Network: rotation invariant convolution (RI-CONV) layer and symmetry structure constrained convolution (SSC-CONV) layer. Proposed network learns structural characteristic from image samples regardless of their appearance diversity. Evaluation is conducted on 32,000 images (after augmentation) of our rotation symmetry classification data set.作者: Bumble 時(shí)間: 2025-3-23 07:58
A Hough Space Feature for Vehicle Detection angle. To evaluate the performance of the proposed feature, a Neural Network pattern recognition classifier is employed to classify vehicle images and non-vehicle samples. The success rate is validated via various imaging environment (lighting, distance to camera, view angle, and incompleteness) for different vehicle models.作者: 刀鋒 時(shí)間: 2025-3-23 13:07 作者: Ferritin 時(shí)間: 2025-3-23 14:36
PSO-Based Newton-Like Method and Iteration Processes in the Generation of Artistic Patternston’s method. Presented examples show that using the proposed method we are able to obtain very interesting and diverse patterns that could have an artistic application, e.g., in texture generation, tapestry or textile design etc.作者: 闖入 時(shí)間: 2025-3-23 21:30 作者: 漫不經(jīng)心 時(shí)間: 2025-3-23 22:53 作者: Interdict 時(shí)間: 2025-3-24 03:53 作者: 不成比例 時(shí)間: 2025-3-24 09:59
S. Uma,M. S. Saraswathi,P. Durai angle. To evaluate the performance of the proposed feature, a Neural Network pattern recognition classifier is employed to classify vehicle images and non-vehicle samples. The success rate is validated via various imaging environment (lighting, distance to camera, view angle, and incompleteness) for different vehicle models.作者: CLEAR 時(shí)間: 2025-3-24 14:04
Conference proceedings 2018al sections named: ST: computational bioimaging; computer graphics; visual surveillance; pattern recognition; vitrual reality; deep learning; motion and tracking; visualization; object detection and recognition; applications; segmentation; and ST: intelligent transportation systems.?.作者: 冒失 時(shí)間: 2025-3-24 17:44
Conservation and Practical Moralitytecture which gives a reconstructed bitmask with pixel-wise confidence level. During our experiments, a crossvalidation was performed on 750 MRI slices of the brain and demonstrated the high accuracy of the model (dice score: .) with a prediction time of less than 0.5?s.作者: 概觀 時(shí)間: 2025-3-24 20:34
Conservation and the Common Good,ton’s method. Presented examples show that using the proposed method we are able to obtain very interesting and diverse patterns that could have an artistic application, e.g., in texture generation, tapestry or textile design etc.作者: Confess 時(shí)間: 2025-3-25 03:08
Cesare Pizzigatti,Elisa Franzonied intensity values in the function, consequentially eradicating the large computational and memory load often associated with non-parametric techniques. In addition, we propose a novel approach to the classic background segmentation issue of “ghosting” by exploiting the spatial relationships among pixels.作者: BILE 時(shí)間: 2025-3-25 07:25 作者: CURL 時(shí)間: 2025-3-25 08:10 作者: frivolous 時(shí)間: 2025-3-25 13:00
Conservation and the Common Good,quality of the interpolation with respect to the actual evolution of the phenomenon being represented. The Angle-Improving Delaunay Edge-Flips method, overall, obtained the best results, but the Remeshing method seems to be more robust to abrupt changes in the geometry.作者: sulcus 時(shí)間: 2025-3-25 19:02 作者: insincerity 時(shí)間: 2025-3-25 23:55
Stephanie Parisi,Gianni Miani,Chiara PasianWe mapped the complete activity recognition pipeline to the COTS NVIDIA Tegra TX2 development kit and demonstrate real-time activity recognition from streaming drone videos at less than 10?W power consumption.作者: 牛的細(xì)微差別 時(shí)間: 2025-3-26 03:17
Skin Cancer Segmentation Using a Unified Markov Random Fieldefits of the pixel-based and the region-based Markov Random Field (MRF) models by decomposing the likelihood function into the product of the pixel likelihood function and the regional likelihood function. The experimental results show that the employed method has high precision . (Jaccard Index).作者: obstinate 時(shí)間: 2025-3-26 05:09
Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition into LV segmentation, we can solve both LV and RV segmentation in a unified framework without training any specific shape models for RV. The proposed method has been quantitatively validated on open datasets, and the experimental results and comparisons with other methods demonstrate the superior performance of our method.作者: 無意 時(shí)間: 2025-3-26 09:48 作者: 酷熱 時(shí)間: 2025-3-26 13:30
Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functionsethod for the radial basis functions, the interpolated porous shape can be customized according to different requirements. Numerous experiments have been conducted to show the effectiveness of the proposed method.作者: 他日關(guān)稅重重 時(shí)間: 2025-3-26 19:48 作者: Infuriate 時(shí)間: 2025-3-26 23:55 作者: Irritate 時(shí)間: 2025-3-27 03:16 作者: Interstellar 時(shí)間: 2025-3-27 09:20
Automatic Registration of Serial Cerebral Angiography: A Comparative Reviewring treatment effectiveness, recovery, and detection of diseases onset. While medical image registration algorithms have been largely evaluated on MRI and CT, less attention has been given to Digital Subtraction Angiography (DSA). DSA of the brain is the method of choice for the diagnosis of numero作者: sebaceous-gland 時(shí)間: 2025-3-27 10:00
Skull Stripping Using Confidence Segmentation Convolution Neural Network muscles, greatly hinder the accuracy of further automatic diagnosis. To extract important brain tissue quickly, we developed a model named Confidence Segmentation Convolutional Neural Network (CSCNet). CSCNet takes the form of a Fully Convolutional Network (FCN) that adopts an encoder-decoder archi作者: 享樂主義者 時(shí)間: 2025-3-27 15:15 作者: 窒息 時(shí)間: 2025-3-27 20:55
Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decompositionof Left Ventricle (LV) and Right Ventricle (RV) from cardiac magnetic resonance images. The main contributions are two-fold. First, we introduce a convexity preserving mechanism in the level set framework, which is helpful for overcoming the difficulties arised from the overlap between intensities o作者: 很像弓] 時(shí)間: 2025-3-28 00:40 作者: 愛社交 時(shí)間: 2025-3-28 05:14 作者: Pert敏捷 時(shí)間: 2025-3-28 08:15
Biomimetic Perception Learning for Human Sensorimotor Controluman model actuated by numerous skeletal muscles, with two human-like eyes whose retinas have spatially nonuniform distributions of photoreceptors. Our prototype sensorimotor system for this model incorporates a set of 20 automatically-trained, deep neural networks (DNNs), half of which are neuromus作者: 模范 時(shí)間: 2025-3-28 13:18 作者: moratorium 時(shí)間: 2025-3-28 17:26 作者: Pathogen 時(shí)間: 2025-3-28 19:33
A Low-Power Neuromorphic System for Real-Time Visual Activity Recognition platforms that can detect even small objects and activities with high-accuracy. Our system modifies and integrates multiple independent algorithms into an end-to-end system consisting of five primary modules: object detection, object tracking, convolutional neural network image feature extractor, r作者: 使堅(jiān)硬 時(shí)間: 2025-3-29 00:08
Video-Based Human Action Recognition Using Kernel Relevance Analysisline employed in action recognition, with a two-fold post-processing stage: (i) A descriptor relevance ranking based on the centered kernel alignment (CKA) algorithm to match trajectory-aligned descriptors with the output labels (action categories), and (ii) a feature embedding based on the same alg作者: incision 時(shí)間: 2025-3-29 05:06
Robust Incremental Hidden Conditional Random Fields for Human Action Recognitionhuman action. However, finding the optimal number of hidden states remains a severe limitation for this model. This paper addresses this limitation by proposing a new model, called robust incremental hidden conditional random field (RI-HCRF). A hidden Markov model (HMM) is created for each observati作者: 極力證明 時(shí)間: 2025-3-29 07:54 作者: Somber 時(shí)間: 2025-3-29 15:27 作者: 惰性女人 時(shí)間: 2025-3-29 18:18
Gender Classification Based on Facial Shape and Texture Features Local Binary Pattern (LBP) and Local Directional Pattern (LDP). A gender classification model based on the fusion of appearance and shape features is proposed. The experimental results show that the fusion of the LBP and LDP with the Active Shape Model improved the gender classification accuracy ra作者: legislate 時(shí)間: 2025-3-29 23:26
Advances in Visual Computing978-3-030-03801-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: FADE 時(shí)間: 2025-3-30 00:02 作者: 貞潔 時(shí)間: 2025-3-30 06:32 作者: ARCHE 時(shí)間: 2025-3-30 09:56 作者: Inscrutable 時(shí)間: 2025-3-30 16:22
Gender Classification Based on Facial Shape and Texture Features Local Binary Pattern (LBP) and Local Directional Pattern (LDP). A gender classification model based on the fusion of appearance and shape features is proposed. The experimental results show that the fusion of the LBP and LDP with the Active Shape Model improved the gender classification accuracy rate to 94.5% from 92.8% before fusion.作者: Herbivorous 時(shí)間: 2025-3-30 19:39
Conservation and the Common Good,ring treatment effectiveness, recovery, and detection of diseases onset. While medical image registration algorithms have been largely evaluated on MRI and CT, less attention has been given to Digital Subtraction Angiography (DSA). DSA of the brain is the method of choice for the diagnosis of numero作者: ETHER 時(shí)間: 2025-3-31 00:36
Conservation and Practical Morality muscles, greatly hinder the accuracy of further automatic diagnosis. To extract important brain tissue quickly, we developed a model named Confidence Segmentation Convolutional Neural Network (CSCNet). CSCNet takes the form of a Fully Convolutional Network (FCN) that adopts an encoder-decoder archi作者: 勉強(qiáng) 時(shí)間: 2025-3-31 03:12
