標(biāo)題: Titlebook: Computer Analysis of Images and Patterns; 20th International C Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay Conference proceedings 20 [打印本頁(yè)] 作者: Auditory-Nerve 時(shí)間: 2025-3-21 16:54
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(kāi)度
書目名稱Computer Analysis of Images and Patterns網(wǎng)絡(luò)公開(kāi)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: 五行打油詩(shī) 時(shí)間: 2025-3-21 20:24
Fall Detection with?Event-Based Data: A Case Studyrom a camera attached to the neck (N-data) and the other one attached to the waist (W-data). Each data set contains 469 video samples, of which 213 are four types of fall examples, and the rest are nine types of non-fall daily activities. Compared to the CNN, which operates on the high-resolution RG作者: 抒情短詩(shī) 時(shí)間: 2025-3-22 03:53 作者: octogenarian 時(shí)間: 2025-3-22 07:14
Empirical Study of?Attention-Based Models for?Automatic Classification of?Gastrointestinal Endoscopy by previous models, needing fewer parameters. In addition, a new state of the art on Hyper-Kvasir (i.e., 0.636 F1-Macro) is obtained by the fusion of two MobileViT models with only 20M parameters. The source code will be published here: ..作者: 柳樹(shù)；枯黃 時(shí)間: 2025-3-22 08:50 作者: 最后一個(gè) 時(shí)間: 2025-3-22 16:58 作者: 最后一個(gè) 時(shí)間: 2025-3-22 17:13 作者: MIRTH 時(shí)間: 2025-3-23 00:58 作者: Offbeat 時(shí)間: 2025-3-23 01:26 作者: 上腭 時(shí)間: 2025-3-23 05:49
A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features作者: jocular 時(shí)間: 2025-3-23 13:35 作者: Cryptic 時(shí)間: 2025-3-23 16:30 作者: 護(hù)身符 時(shí)間: 2025-3-23 21:15 作者: 遷移 時(shí)間: 2025-3-23 22:29
,L’opérateur , sur une variété q-concave, image texture and noise. The effectiveness of the proposed COFI approach is evaluated on an EM dataset of the heart muscle of a mouse tissue, which consisted of four tiles of . pixels, containing a total of 2287 instances of mitochondria among other subcellular structures. It consistently achieved 作者: 使害怕 時(shí)間: 2025-3-24 05:57 作者: 危機(jī) 時(shí)間: 2025-3-24 07:17 作者: nutrition 時(shí)間: 2025-3-24 10:42
https://doi.org/10.1007/BFb0097744tation. The Fourier descriptor loss can be used individually or as a regularizer with region-based losses such as the Dice loss for higher accuracy and faster convergence. As a regularizer, the proposed loss obtains the highest mean intersection of union (96.76%), Dice similarity coefficient (98.20%作者: 恫嚇 時(shí)間: 2025-3-24 15:10
https://doi.org/10.1007/BFb0097744on (Chollet, 2017) and the MobileNet (Howard et .., 2017) were evaluated in this study, by freezing their backbone architecture (pre-trained on ImageNet) and adding new dense layers, which we trained to classify AS and SY cases. The classification accuracy (CA) of Xception and MobileNet was found at作者: 易彎曲 時(shí)間: 2025-3-24 20:55
,Additif a "variations sur le thème "gaga",xplanations. The results showed that the different learning methods achieved a high accuracy of 99% and gave similar explanations as they extracted the same set of rules. It is hoped that the proposed methodology could lead to personalized treatment in the management of MS disease.作者: 擁擠前 時(shí)間: 2025-3-25 02:38
https://doi.org/10.1007/BFb0063241nvNet pre-trained on ImageNet. Two feature sets are evaluated on a new data set of 1,647 image samples collected from 160 frogs: RGB images, and 3-channel contour maps (i.e. CORF3D). The results indicate that the CORF3D feature set is favoured over RGB. CORF3D achieved the best performance of 99.94%作者: inflate 時(shí)間: 2025-3-25 04:03
https://doi.org/10.1007/BFb0091458an values of the response distributions over the various demographics. Instead, it can be better understood as the combined effect of several possible characteristics of these distributions: different means; different variances; bimodal behaviour; the existence of outliers.作者: In-Situ 時(shí)間: 2025-3-25 10:14 作者: nerve-sparing 時(shí)間: 2025-3-25 12:04 作者: 冷峻 時(shí)間: 2025-3-25 17:00
Race Bias Analysis of?Bona Fide Errors in?Face Anti-spoofingan values of the response distributions over the various demographics. Instead, it can be better understood as the combined effect of several possible characteristics of these distributions: different means; different variances; bimodal behaviour; the existence of outliers.作者: 匍匐 時(shí)間: 2025-3-25 22:02
RLSTM: A Novel Residual and?Recurrent Network for?Pedestrian Action Classification benchmark in the field. Finally, the paper empirically analyzes the effect of increasing input sequence length on standing action recognition, showing that the proposed method yields a recall of 93%.作者: incisive 時(shí)間: 2025-3-26 02:57 作者: Impugn 時(shí)間: 2025-3-26 04:51
0302-9743 II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications..978-3-031-44239-1978-3-031-44240-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Systemic 時(shí)間: 2025-3-26 10:59
0302-9743 in September 2023.??.The 54 full papers presented were carefully reviewed and selected from 67 submissions.?They were organized?in the following section as follows:.Part I: PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object?Recognition and Segmentation..Part作者: 神化怪物 時(shí)間: 2025-3-26 14:31 作者: antiandrogen 時(shí)間: 2025-3-26 17:43 作者: configuration 時(shí)間: 2025-3-26 23:48 作者: formula 時(shí)間: 2025-3-27 03:25
,L’opérateur , sur une variété q-concave,o the combined standard bolus calculator treatment and carbohydrate counting. This approach could potentially improve glycaemic control for PwT1D and reduce the burden of carbohydrate and insulin dosage estimations.作者: STENT 時(shí)間: 2025-3-27 08:21 作者: 瘙癢 時(shí)間: 2025-3-27 11:52 作者: 女上癮 時(shí)間: 2025-3-27 17:22 作者: OREX 時(shí)間: 2025-3-27 18:16 作者: Stricture 時(shí)間: 2025-3-27 22:44
Highly Crowd Detection and?Counting Based on?Curriculum Learning this paper we formulate the problem in terms of point detection and we propose a novel training strategy, especially devised for point detection networks. The baseline architecture we use is Point to Point Network (P2PNet), that have shown impressing accuracy results in both localization and crowd 作者: POWER 時(shí)間: 2025-3-28 02:25
Race Bias Analysis of?Bona Fide Errors in?Face Anti-spoofingce bias in face anti-spoofing. In this paper, we present a systematic study of race bias in face anti-spoofing with three key features: we focus on the classifier’s bona fide errors, where the most significant ethical and legal issues lie; we analyse both the scalar responses of the classifier and i作者: 慌張 時(shí)間: 2025-3-28 10:02
Fall Detection with?Event-Based Data: A Case Studyolutions lack the ability to combine low-power consumption, privacy protection, low latency response, and low payload. In this work, we address this gap through a comparative analysis of the trade-off between effectiveness and energy consumption by comparing a Recurrent Spiking Neural Network (RSNN)作者: 犬儒主義者 時(shí)間: 2025-3-28 12:57
Towards Accurate and?Efficient Sleep Period Detection Using Wearable Devicesoring sleep. This study investigates methods for autonomously identifying sleep segments base on wearable device data. We employ and evaluate machine and deep learning models on the benchmark MESA dataset, with results showing that they outperform traditional methods in terms of accuracy, F1 score, 作者: Expurgate 時(shí)間: 2025-3-28 15:25
RLSTM: A Novel Residual and?Recurrent Network for?Pedestrian Action Classification and recurrent neural network, Resnet-LSTM, for spatio-temporal pedestrian action recognition from image sequences. The model includes a novel layer, called MapGrad, whose goal is improving stationarity of the feature map sequences processed by the ConvLSTM. The paper demonstrates the effectiveness 作者: Commonwealth 時(shí)間: 2025-3-28 20:35 作者: 芳香一點(diǎn) 時(shí)間: 2025-3-28 22:54
A Complete AI-Based System for?Dietary Assessment and?Personalized Insulin Adjustment in?Type 1 Diabhydrate counting, and the requirements of adjusting insulin dosage. Our paper aims to alleviate the demands of diabetes self-management by developing a complete system that employs computer vision to estimate the carbohydrate content of meals and utilizes reinforcement learning to personalize insuli作者: MIRTH 時(shí)間: 2025-3-29 05:52
COFI - Coarse-Semantic to?Fine-Instance Unsupervised Mitochondria Segmentation in?EMof disease causes or progression. Instance segmentation is a more granular version of semantic segmentation, as it identifies and distinguishes individual object instances, whereas semantic segmentation only identifies object classes. In this study, we introduce a two-stage unsupervised approach cal作者: 情節(jié)劇 時(shí)間: 2025-3-29 08:01 作者: 招人嫉妒 時(shí)間: 2025-3-29 12:05 作者: 不利 時(shí)間: 2025-3-29 17:02 作者: Dislocation 時(shí)間: 2025-3-29 23:35
Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images studies have shown evaluated deep learning (DL) models in atherosclerotic plaque classification (Asymptomatic, AS, or Symptomatic, SY), using carotid ultrasound (CUS) images, with only a few studies examining TL in this task. In this study, we use TL to classify plaques in CUS longitudinal images, 作者: 詼諧 時(shí)間: 2025-3-30 00:59 作者: 充滿人 時(shí)間: 2025-3-30 05:41
Biometric Recognition of?African Clawed Frogsxperimental quality control purposes, it is desirable to identify individual frogs regularly throughout their life. Current methods for identification are often invasive and associated with significant investment costs. Identification based on images of the biometric pattern on a frog’s back has bee作者: 用手捏 時(shí)間: 2025-3-30 12:10 作者: 知識(shí)分子 時(shí)間: 2025-3-30 12:45 作者: SKIFF 時(shí)間: 2025-3-30 18:13 作者: meditation 時(shí)間: 2025-3-31 00:19 作者: Resection 時(shí)間: 2025-3-31 03:32
La classification des espaces 1-convexes,olutions lack the ability to combine low-power consumption, privacy protection, low latency response, and low payload. In this work, we address this gap through a comparative analysis of the trade-off between effectiveness and energy consumption by comparing a Recurrent Spiking Neural Network (RSNN)作者: 高腳酒杯 時(shí)間: 2025-3-31 07:38
https://doi.org/10.1007/BFb0091458oring sleep. This study investigates methods for autonomously identifying sleep segments base on wearable device data. We employ and evaluate machine and deep learning models on the benchmark MESA dataset, with results showing that they outperform traditional methods in terms of accuracy, F1 score,
