標(biāo)題: Titlebook: Neural Information Processing; 26th International C Tom Gedeon,Kok Wai Wong,Minho Lee Conference proceedings 2019 Springer Nature Switzerla [打印本頁] 作者: peak-flow-meter 時(shí)間: 2025-3-21 19:01
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度
書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學(xué)科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學(xué)科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學(xué)科排名
作者: Iniquitous 時(shí)間: 2025-3-21 23:26 作者: 拱形大橋 時(shí)間: 2025-3-22 03:51
A Deep Learning Scheme for Extracting Pedestrian-Parcel Tuples from Videosy re-identification of pedestrians and parcels. In the interaction module, we propose a lightweight interaction model for discriminating the affiliation between pedestrians and parcels in a single RGB image. Experiments on a video data at a subway entrance validate the proposed approach.作者: 征兵 時(shí)間: 2025-3-22 05:11 作者: Invertebrate 時(shí)間: 2025-3-22 11:16 作者: debble 時(shí)間: 2025-3-22 15:59 作者: Figate 時(shí)間: 2025-3-22 20:06 作者: 雪崩 時(shí)間: 2025-3-23 00:21 作者: Orgasm 時(shí)間: 2025-3-23 05:13 作者: Commission 時(shí)間: 2025-3-23 08:30
Fault Tolerant Broad Learning Systemtolerant BLS (FTBLS). First, we develop a fault tolerant objective function for BLS. Based on the developed objective function, we develop a training algorithm to construct a BLS network. The simulation results show that our proposed FTBLS is much better than the classical BLS.作者: assent 時(shí)間: 2025-3-23 09:45 作者: 狂怒 時(shí)間: 2025-3-23 15:24
Adversarial Deep Learning with Stackelberg Gamest such vulnerabilities in deep networks. These methods focus on attacking and retraining deep networks with adversarial examples to do either feature manipulation or label manipulation or both. In this paper, we propose a new adversarial learning algorithm for finding adversarial manipulations to de作者: coltish 時(shí)間: 2025-3-23 20:40
Enhance Feature Representation of Dual Networks for Attribute Predictionition accuracy. In this paper, we propose a novel dual branch adversarial neural network named D-BANN. Inspired by adversarial learning, we drive parallel networks to extract complementary features and adopt a novel loss function to extend the application domain of the model. Moreover, we divide the作者: 強(qiáng)制令 時(shí)間: 2025-3-24 00:25
Data Augment in Imbalanced Learning Based on Generative Adversarial Networksansformation for data augment to imbalanced datasets. Due to those methods learn from local information, they might generate noisy samples in the dataset with high dimension and special complexity. To solve the problem, we propose an improved Generative Adversarial Networks with modification functio作者: 巡回 時(shí)間: 2025-3-24 03:14
A Deep Learning Scheme for Extracting Pedestrian-Parcel Tuples from Videostween pedestrians and parcels is an important task in an intelligent security inspection system. However, it is very challenging due to the high pedestrian volume in these places. In this paper, we propose a deep learning scheme for extracting pedestrian-parcel tuples from camera videos, which inclu作者: 光明正大 時(shí)間: 2025-3-24 10:27 作者: gentle 時(shí)間: 2025-3-24 12:20 作者: Preserve 時(shí)間: 2025-3-24 16:28
A Gradient-Based Algorithm to Deceive Deep Neural Networksognition of these networks is unstable to slight perturbations of images. To verify this weakness, we propose ., a gradient-based algorithm for deceiving deep neural networks in this paper. There exists a lot of gradient-based attack methods, such as the L-BFGS, FGSM, and Deepfool. Specifically, bas作者: RAGE 時(shí)間: 2025-3-24 22:57
Writing Style Adversarial Network for Handwritten Chinese Character Recognitionpeople pay attention to the influence of writing style on it. In this paper, we aim to improve the performance of HCCR further by weakening the influence of different writing styles. We propose a writing style adversarial network (WSAN) which includes three parts: feature extractor, character classi作者: 食草 時(shí)間: 2025-3-25 00:15 作者: LASH 時(shí)間: 2025-3-25 03:31
Hierarchical Attention CNN and Entity-Aware for Relation Extractionh cannot preserve the position information and deal with the long sentences. In addition, the critical information for relation classification tends to present in a certain segment. A better method to extract feature in segment level is needed. In this paper, we propose a novel model with hierarchic作者: NUDGE 時(shí)間: 2025-3-25 09:18 作者: fibroblast 時(shí)間: 2025-3-25 12:34
Group Loss: An Efficient Strategy for Salient Object Detectioncross entropy loss to optimize the networks for its capability in probability prediction. The function of cross entropy loss in salient object detection can be seemed as a pixel-wise label classification for images, which automatically predict whether the pixel is salient or non-salient. However, cr作者: 植物茂盛 時(shí)間: 2025-3-25 17:04 作者: Trigger-Point 時(shí)間: 2025-3-25 22:31
Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor Datauality prediction, most studies focus on predicting a single water quality variable. When multiple water quality variables need to be estimated, preparing several data-driven models may require unaffordable computing resources. Also, the changing patterns of several water quality variables can only 作者: 大溝 時(shí)間: 2025-3-26 04:05
CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Modeles and access control techniques for database security, but they are not sufficient for detecting insider attacks. In order to detect threats for the database application, it is necessary to adopt role-based access control (RBAC) and classify the roles according to the authority of each user. In thi作者: Vulnerary 時(shí)間: 2025-3-26 05:06
MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural NetworkN, which is based on hybrid dilated convolution neural network, for computing matching cost of two image patches. HDCNN uses the dilated convolution of the series to obtain a larger receptive field, while avoiding the “gridding” effect and ensuring the integrity of the receptive field. In addition, 作者: Petechiae 時(shí)間: 2025-3-26 09:52
Convolutional Neural Network to Detect Thorax Diseases from Multi-view Chest X-Rayshreatening diseases. Not only certified radiologists are hard to find, stress, fatigue and experience contribute to the quality of an examination. It is ideal that a chest X-ray can be interpreted by an automated deep learning algorithm. In this paper, we proposed a stage-wise model that is founded 作者: committed 時(shí)間: 2025-3-26 14:29
and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: Ambiguous 時(shí)間: 2025-3-26 16:55
and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: OVER 時(shí)間: 2025-3-26 23:27
Aneesh Sreevallabh Chivukula,Xinghao Yang,Wei Liu and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: Sciatica 時(shí)間: 2025-3-27 04:48
Yuchun Fang,Yilu Cao,Wei Zhang,Qiulong Yuan and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: Extemporize 時(shí)間: 2025-3-27 06:48
Zhuocheng Zhou,Bofeng Zhang,Ying Lv,Tian Shi,Furong Chang and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: 預(yù)測 時(shí)間: 2025-3-27 10:18 作者: Oafishness 時(shí)間: 2025-3-27 13:48 作者: 功多汁水 時(shí)間: 2025-3-27 18:56 作者: nostrum 時(shí)間: 2025-3-28 01:43 作者: Halfhearted 時(shí)間: 2025-3-28 05:47
Huan Liu,Shujing Lyu,Hongjian Zhan,Yue Lu and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: 無政府主義者 時(shí)間: 2025-3-28 07:07
Yang Chen,Jinxuan Sun,Wencong Jiao,Guoqiang Zhong and physical processes. The starting point of the text is the process - and not soil classification. Effects of weathering and new formation of minerals, mobilisation, transport, and breakdown or immobilisation of dissolved and suspended compounds are discussed. Soil processes and profiles are disc作者: 隨意 時(shí)間: 2025-3-28 13:54 作者: Salivary-Gland 時(shí)間: 2025-3-28 17:41
Xinyu Zhu,Gongshen Liu,Bo Su the earth‘s crust that is exploited by plant roots for anchorage and supply of water and nutrients. Soils are complex natural bodies formed under the influence of plants, microorganisms and soil animals, water and air from their parent material, i.e. solid rock or unconsolidated sediments. Physical作者: 法律 時(shí)間: 2025-3-28 21:18 作者: 積極詞匯 時(shí)間: 2025-3-29 02:26
Yikai Hua,Xiaodong Gu the earth‘s crust that is exploited by plant roots for anchorage and supply of water and nutrients. Soils are complex natural bodies formed under the influence of plants, microorganisms and soil animals, water and air from their parent material, i.e. solid rock or unconsolidated sediments. Physical作者: anachronistic 時(shí)間: 2025-3-29 04:48
Xinyang Liu,Zheng Liu,Yanwen Qu(FAO. The oxic (USDA) or ferralic B (FAO) horizon has undergone extreme weathering of minerals in alil grainsize fractions. Practically all weatherable minerals have been removed from the sand and silt fractions. In the clay fraction, weathering has caused a dominance of kaolinite, gibbsite, and iro作者: 娘娘腔 時(shí)間: 2025-3-29 10:07
Yi-Fan Zhang,Peter J. Thorburn,Peter Fitchpetrocalcic horizon. Soils with such horizons are found in many parts of the world, though mainly in the arid regions. The study of soils with calcic and petrocalcic horizons is highly relevant because they (1) contain high concentrations of inorganic C (Schlesinger 1982; Hirmas et al. 2010), (2) ca作者: 牛的細(xì)微差別 時(shí)間: 2025-3-29 15:00
Maram Mahmoud A. Monshi,Josiah Poon,Vera Chung cycling, increased availability of limited nutrients, and decomposition of inorganic as well as organic matter. Soil microorganisms also positively influence physical properties of soil like its structure, porosity; aeration, and water infiltration which are favorably affected by their soil aggrega作者: CLEAR 時(shí)間: 2025-3-29 16:06 作者: 易發(fā)怒 時(shí)間: 2025-3-29 19:49
Neural Information Processing978-3-030-36808-1Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: agonist 時(shí)間: 2025-3-30 00:18 作者: 增長 時(shí)間: 2025-3-30 08:02 作者: REP 時(shí)間: 2025-3-30 12:12 作者: 粉筆 時(shí)間: 2025-3-30 15:30 作者: gospel 時(shí)間: 2025-3-30 20:07
f questions and problems to help understand and synthesis the material. Answers to all questions are included. This second edition has been updated to reflect recent discoveries. Printing errors have been corrected, and new photographs support the text. .978-1-4020-0767-5978-0-306-48163-5作者: 過渡時(shí)期 時(shí)間: 2025-3-30 20:45
Aneesh Sreevallabh Chivukula,Xinghao Yang,Wei Liuf questions and problems to help understand and synthesis the material. Answers to all questions are included. This second edition has been updated to reflect recent discoveries. Printing errors have been corrected, and new photographs support the text. .978-1-4020-0767-5978-0-306-48163-5
