標(biāo)題: Titlebook: Computer Vision and Image Processing; 4th International Co Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Conference proceedings 2020 S [打印本頁] 作者: 棕櫚等 時間: 2025-3-21 16:36
書目名稱Computer Vision and Image Processing影響因子(影響力)
書目名稱Computer Vision and Image Processing影響因子(影響力)學(xué)科排名
書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度
書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computer Vision and Image Processing被引頻次
書目名稱Computer Vision and Image Processing被引頻次學(xué)科排名
書目名稱Computer Vision and Image Processing年度引用
書目名稱Computer Vision and Image Processing年度引用學(xué)科排名
書目名稱Computer Vision and Image Processing讀者反饋
書目名稱Computer Vision and Image Processing讀者反饋學(xué)科排名
作者: 暗諷 時間: 2025-3-21 22:37
https://doi.org/10.1007/978-1-4302-2642-0mation from them. A key step used in image processing involves the removal of different kinds of noises from the images. Noises can arise in an image during the process of storing, transmitting or acquiring the images. A model qualifies as a satisfactory de-noising model if it satisfies image preser作者: 胰島素 時間: 2025-3-22 02:12 作者: cogitate 時間: 2025-3-22 08:16
https://doi.org/10.1007/978-1-4302-2642-0alyzing and studying handwriting is .. The prime features of handwriting such as margins, slanted, the baseline can tell the characteristics of a writer. The writer handwriting analysis reveals strokes and patterns through which identification and understanding the personality of a writer is possibl作者: multiply 時間: 2025-3-22 09:57
Restrict Physical Access to Cardholder Data,llular characteristics of the cells of a suspicious breast tumor. A computer-aided automatic classifier with the help of machine learning can improve the diagnosis system in terms of accuracy and time consumption. These types of system can automatically distinguish a benign and malignant pattern in 作者: savage 時間: 2025-3-22 13:00
The Definitive Guide to PCI DSS Version 4sponding to the legitimate user. Thus, it is essential to develop a Presentation Attack Detection (PAD) algorithms that can automatically detect the presentation attacks the face recognition systems. In this paper, we present a novel method for face presentation attack detection based on the multi-c作者: savage 時間: 2025-3-22 18:05 作者: Inculcate 時間: 2025-3-23 00:07 作者: Malfunction 時間: 2025-3-23 03:03
https://doi.org/10.1007/978-1-4302-1894-4y driver being sleepy. A drowsiness detection solution should be very accurate and run in real-time. All the existing deep learning solutions for drowsiness detection are computationally intensive and cannot be easily implemented on embedded devices. In this paper, we propose a real-time driver drow作者: Resistance 時間: 2025-3-23 09:03
Managing Security and Workflowsy diet. If we can predict a stroke in its early stage, then it can be prevented. In this paper, we evaluate five different machine learning techniques to predict stroke on Cardiovascular Health Study (CHS) dataset. We use Decision Tree (DT) with the C4.5 algorithm for feature selection, Principal Co作者: expository 時間: 2025-3-23 13:17
Managing Security and Workflowsnes, CNN models are trained in offline manner which involves re-training of a network considering seen as well as unseen data samples. However, such training takes too much time. This problem is addressed using proposed convolutional fuzzy min-max neural network (CFMNN) avoiding the re-training proc作者: 亂砍 時間: 2025-3-23 15:34
Maurizio Delmonte,Davide Moro,Andy McKaylligent video surveillance. Surveillance cameras are set up?to monitor anomalous or unusual events. But, the majority of video data, related to normal or usual events, is accessible. Thus, analysis and recognition of anomalous events from huge data are very difficult. In this work, an automated syst作者: milligram 時間: 2025-3-23 18:15 作者: vascular 時間: 2025-3-24 01:10
Maurizio Delmonte,Davide Moro,Andy McKayuality and buffering continue to remain major concerns causing users to abandon streaming video. This is due to the conditional rule-based logic used by state-of-the-art algorithms, which cannot adapt to all the network conditions. In this paper, a Deep Neural Network (DNN) based adaptive streaming 作者: 生來 時間: 2025-3-24 04:05 作者: GRATE 時間: 2025-3-24 07:14
Maurizio Delmonte,Davide Moro,Andy McKays the deception through non-verbal behavior that can be recorded in a non-intrusive manner, the deception detection from video using automatic techniques can be devised. In this paper, we present a novel technique for the video-based deception technique using Deep Recurrent Convolutional Neural Netw作者: mechanical 時間: 2025-3-24 12:07 作者: mighty 時間: 2025-3-24 18:43 作者: Salivary-Gland 時間: 2025-3-24 21:10 作者: expdient 時間: 2025-3-25 01:39 作者: CAGE 時間: 2025-3-25 04:13
https://doi.org/10.1007/978-981-15-4018-9artificial intelligence; computer hardware; computer networks; computer systems; computer vision; correla作者: 減至最低 時間: 2025-3-25 07:54
978-981-15-4017-2Springer Nature Singapore Pte Ltd. 2020作者: 東西 時間: 2025-3-25 11:43
1865-0929 al Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.?.978-981-15-4017-2978-981-15-4018-9Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: interference 時間: 2025-3-25 16:17 作者: fleeting 時間: 2025-3-25 20:53
The Definitive Guide to PCI DSS Version 4on scores that are combined using a weighted sum rule. Extensive experiments are carried out on the publicly available OULU-NPU database and performance of the proposed method is benchmarked with fifteen different state-of-the-art techniques. Obtained results have indicated the outstanding performance of the proposed method on OULU-NPU database.作者: infatuation 時間: 2025-3-26 03:40
Maurizio Delmonte,Davide Moro,Andy McKayhe model performed better achieving an accuracy of 97% and 95% for the two malware datasets including benign samples. They did not require more hardware resources and model is trained with a low computational cost. The model was evaluated on Malimg dataset and Kaggle’s Microsoft Malware Classification Challenge (BIG 2015) dataset.作者: 吊胃口 時間: 2025-3-26 05:19 作者: prosthesis 時間: 2025-3-26 11:49
Integrating Plone with Other Systemsnlinear changes. So kernel variants of ELPP are proposed to handle non-linearity present in the data. This article addressed kernel variants of the ELPP which explored the complex non-linear changes of the facial expression recognition. The proposed kernel variants of the ELPP is applied for face recognition on some benchmark databases.作者: 領(lǐng)袖氣質(zhì) 時間: 2025-3-26 12:42
Integrating Plone with Other Systemsters (width) of the model and hence, learned the inter-channel dependencies in a better way. The proposed network outperforms the state-of-the-art demosaicing methods on both sRGB and linear datasets.作者: 改變立場 時間: 2025-3-26 19:53 作者: 泄露 時間: 2025-3-27 00:36 作者: Ischemia 時間: 2025-3-27 05:03 作者: indenture 時間: 2025-3-27 08:42
Real-Time Driver Drowsiness Detection Using Deep Learning and Heterogeneous Computing on Embedded Synt is 650x less than that of the state of the art solution. We implemented the proposed CNN, along with a face detector CNN, on a smartphone using ARM-NEON and MALI GPU in a heterogeneous computing design. This implementation achieves a real-time performance of 60 frames-per-second.作者: 險代理人 時間: 2025-3-27 09:49 作者: 埋葬 時間: 2025-3-27 13:45
Deep Demosaicing Using ResNet-Bottleneck Architectureters (width) of the model and hence, learned the inter-channel dependencies in a better way. The proposed network outperforms the state-of-the-art demosaicing methods on both sRGB and linear datasets.作者: 寄生蟲 時間: 2025-3-27 20:14
Managing Security and Workflowson. The predictive methods discussed in this paper are tested on different data samples based on different machine learning techniques. From the different methods applied, the composite method of DT, PCA and ANN gives the optimal result.作者: 諷刺滑稽戲劇 時間: 2025-3-27 22:07
Managing Security and Workflows CFMNN, benchmark datasets such as MNIST, Caltech-101 and CIFAR-100 are used. The experimental results show that drastic reduction in the training time is achieved for online learning of CFMNN. Moreover, compared to existing methods, the proposed CFMNN has compatible or better accuracy.作者: 食草 時間: 2025-3-28 04:22 作者: perimenopause 時間: 2025-3-28 10:01 作者: intelligible 時間: 2025-3-28 11:03
A Convolutional Fuzzy Min-Max Neural Network for Image Classification CFMNN, benchmark datasets such as MNIST, Caltech-101 and CIFAR-100 are used. The experimental results show that drastic reduction in the training time is achieved for online learning of CFMNN. Moreover, compared to existing methods, the proposed CFMNN has compatible or better accuracy.作者: 縫紉 時間: 2025-3-28 14:55
Video Colorization Using CNNs and Keyframes Extraction: An Application in Saving Bandwidthon these colored frames. Through the extracted keyframes we get a good knowledge of the colors that have been used in the video which helps us in colorizing the grayscale version of the video efficiently.作者: 小隔間 時間: 2025-3-28 21:38 作者: Preamble 時間: 2025-3-29 02:09
https://doi.org/10.1007/978-1-4302-2642-0 of the images are also used, as input to the proposed multi channel CNN architecture. The experiments reported on widely used AVA database show improvement in the aesthetic assessment performance over existing approaches.作者: 不如屎殼郎 時間: 2025-3-29 05:13
https://doi.org/10.1007/978-1-4302-1894-4l exam. A dataset of ECG recordings of 130 students was taken during the oral exam. A customized CNN is designed for stress recognition, and it has achieved 97.22% and 93.10% stress detection accuracy for filtered and noisy datasets, respectively.作者: Pepsin 時間: 2025-3-29 07:34
1865-0929 mage Processing. held in?Jaipur, India, in September 2019.?.The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized by the topical headings in two parts.?.Part I: Biometrics;? Computer Forensic; Computer Vision; Dimension Reduction; 作者: 逃避系列單詞 時間: 2025-3-29 14:05
Image Aesthetics Assessment Using Multi Channel Convolutional Neural Networks of the images are also used, as input to the proposed multi channel CNN architecture. The experiments reported on widely used AVA database show improvement in the aesthetic assessment performance over existing approaches.作者: CUR 時間: 2025-3-29 17:59
Psychological Stress Detection Using Deep Convolutional Neural Networksl exam. A dataset of ECG recordings of 130 students was taken during the oral exam. A customized CNN is designed for stress recognition, and it has achieved 97.22% and 93.10% stress detection accuracy for filtered and noisy datasets, respectively.作者: 評論性 時間: 2025-3-29 21:25 作者: 鍵琴 時間: 2025-3-30 03:44 作者: FLIC 時間: 2025-3-30 06:21 作者: custody 時間: 2025-3-30 08:17 作者: FOLD 時間: 2025-3-30 14:23
Anomalous Event Detection and Localization Using Stacked Autoencoderlow using stacked autoencoder. Autoencoder extracts high-level structural information from motion magnitudes to distinguish between normal and anomalous behaviors. The performance of proposed approach is experimentally evaluated on standard UCSD and UMN dataset developed for anomaly detection. Resul作者: 乳白光 時間: 2025-3-30 18:16
DNN Based Adaptive Video Streaming Using Combination of Supervised Learning and Reinforcement Learnid maintain smooth playback. Training can happen on Personal Computer (PC) based server or edge server setup as well as On-Device, which can even be beneficial in providing user personalization based on network throughput collected on the device. It has been shown that this method will give users a s作者: Exclude 時間: 2025-3-31 00:29
A Deep Convolutional Neural Network Based Approach to Extract and Apply Photographic Transformationsk (CNN) is introduced that can transfer the photographic filter and effects from a given reference image to a desired target image via adaptively predicting the parameters of the transformations that were applied on the reference image. These predicted parameters are then applied to the target image作者: monochromatic 時間: 2025-3-31 02:14 作者: maroon 時間: 2025-3-31 07:23
https://doi.org/10.1007/978-1-4302-2642-0characterize their profession. In this paper, the profession of a writer is identified by analyzing the features of writer’s offline handwritten images. The previous work mostly includes determining various traits like honesty, emotional stability of a writer. The Proposed work uses the CNN based mo作者: Aspirin 時間: 2025-3-31 09:57 作者: 夸張 時間: 2025-3-31 16:03 作者: conquer 時間: 2025-3-31 18:58
Maurizio Delmonte,Davide Moro,Andy McKaylow using stacked autoencoder. Autoencoder extracts high-level structural information from motion magnitudes to distinguish between normal and anomalous behaviors. The performance of proposed approach is experimentally evaluated on standard UCSD and UMN dataset developed for anomaly detection. Resul作者: 花費(fèi) 時間: 2025-3-31 23:49
Maurizio Delmonte,Davide Moro,Andy McKayd maintain smooth playback. Training can happen on Personal Computer (PC) based server or edge server setup as well as On-Device, which can even be beneficial in providing user personalization based on network throughput collected on the device. It has been shown that this method will give users a s作者: 精美食品 時間: 2025-4-1 05:10 作者: Expiration 時間: 2025-4-1 09:44
Maurizio Delmonte,Davide Moro,Andy McKayon a publicly available dataset [.] with 121 deceptive and truthful video clips reflecting a real-life scenario. Obtained results demonstrate the outstanding performance of the proposed method when compared with the four different state-of-the-art techniques.
