標(biāo)題: Titlebook: Neural Information Processing; 29th International C Mohammad Tanveer,Sonali Agarwal,Adam Jatowt Conference proceedings 2023 The Editor(s) ( [打印本頁] 作者: HIV763 時(shí)間: 2025-3-21 19:19
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: galley 時(shí)間: 2025-3-21 23:02 作者: 咯咯笑 時(shí)間: 2025-3-22 04:19
Point Cloud Completion with?Difference-Aware Point Voting guidance of the geometric commonalities shared by the observed and missing parts. The decoder finally generates the new points that can be taken as the center points for generating missing regions. Quantitative and visual results on PCN and ShapeNet-55 datasets show that our model outperforms the s作者: inundate 時(shí)間: 2025-3-22 08:38 作者: 聯(lián)邦 時(shí)間: 2025-3-22 09:21
Local-Global Interaction and?Progressive Aggregation for?Video Salient Object Detectionaliency branch for elaborate interaction. In addition, PA evolves and aggregates RGB features, OF features and up-sampled features from the higher level, and can refine saliency-related features progressively. The sophisticated designs of interaction and aggregation phases effectively boost the perf作者: 刻苦讀書 時(shí)間: 2025-3-22 13:03 作者: 閹割 時(shí)間: 2025-3-22 19:46
: Evading Ownership Detection Against Deep Learning Modelsry model which moves it decision boundary slightly. Our empirical results demonstrate that the adversary model evaded the DI detection with 40 samples. We also lay out the limitations of MEW and discuss them at last.作者: 教義 時(shí)間: 2025-3-22 23:24 作者: 標(biāo)準(zhǔn) 時(shí)間: 2025-3-23 02:39
Combining Traffic Assignment and?Traffic Signal Control for?Online Traffic Flow Optimizationthe nearby road network. For traffic signal control, the Maximum Throughput Control (MTC) method is adopted. MTC checks the states of the intersections periodically and greedily takes the action that maximum the throughput of the intersections. By combining these two methods, the vehicle-road coordi作者: 輕打 時(shí)間: 2025-3-23 07:32
Frequency Spectrum with?Multi-head Attention for?Face Forgery Detectionrmed our experiments on smaller sets of DFFD dataset and tested on larger sets. The proposed model achieves an accuracy of 99%, having significantly fewer parameters in in-domain settings and thus is computationally less expensive. It is also tested on unseen datasets in cross GANs setting with an a作者: BADGE 時(shí)間: 2025-3-23 11:56 作者: 全國性 時(shí)間: 2025-3-23 16:04
Haoyang Ma,Hongyu Guon auf leicht verst?ndliche Weise...Das Buch schl?gt eine Brücke zwischen Medizintechnik und IT-Industrie. Neben europ?ischen Regularien berücksichtigen Mark Hastenteufel und Sina Renaud auch internationale Aspekte...?..Einblicke in die Branche und Praxis.Die Autoren geben Ihnen in diesem Buch zun?ch作者: Biomarker 時(shí)間: 2025-3-23 20:54 作者: 人造 時(shí)間: 2025-3-23 22:29
Dingyao Min,Chao Zhang,Yukang Lu,Keren Fu,Qijun Zhaon auf leicht verst?ndliche Weise...Das Buch schl?gt eine Brücke zwischen Medizintechnik und IT-Industrie. Neben europ?ischen Regularien berücksichtigen Mark Hastenteufel und Sina Renaud auch internationale Aspekte...?..Einblicke in die Branche und Praxis.Die Autoren geben Ihnen in diesem Buch zun?ch作者: 禮節(jié) 時(shí)間: 2025-3-24 03:23
Jiawei Cao,Changsheng Lu,Kaijie Wu,Chaochen Guer renaming and/or proactively generate additional instruction(s) on the fly to discover more loop parallelism on the ZOLB. This framework reports additional significant improvements in execution time with modest code size increases for various signal processing applications on the DSP16000.作者: 相容 時(shí)間: 2025-3-24 08:35 作者: resuscitation 時(shí)間: 2025-3-24 12:24
Zhengye Xiao,Shiquan Lin,Xiuan Wan,Yuchun Fang,Lan Ninests containing .-statements are split using genetic algorithms leading to minimized .-statement executions. However, loop nest splitting leads to an increase in code size and can potentially annul the program layout achieved by the first step. Consequently, the proposed approach iteratively applie作者: chandel 時(shí)間: 2025-3-24 15:17 作者: 指數(shù) 時(shí)間: 2025-3-24 21:58 作者: 遺棄 時(shí)間: 2025-3-25 03:08 作者: ornithology 時(shí)間: 2025-3-25 05:54 作者: epicardium 時(shí)間: 2025-3-25 09:18
Thomas Ranvier,Haytham Elgazel,Emmanuel Coquery,Khalid Benabdeslemat the implementation level, using packages of partial classes. The combination of these techniques and the conventional IDE tools make the developments of product lines in small organizations easier as it removes the need for specialized tools and personnel. This article reports the successful expe作者: CLAM 時(shí)間: 2025-3-25 13:13
exercises, as well as programming tasks. Although written mostly for graduate students, the book will also be a source for researchers in both academia and industry, as it will provide a broad and systematic o978-3-642-07985-6978-3-540-46505-8作者: dry-eye 時(shí)間: 2025-3-25 17:58 作者: Initial 時(shí)間: 2025-3-25 22:37 作者: 豎琴 時(shí)間: 2025-3-26 03:43
Ruibin Lin,Dabin Zhang,Liwen Ling,Junjie Huang,Guotao Cai作者: 外科醫(yī)生 時(shí)間: 2025-3-26 07:36
Minzhen Deng,Hui Ma,Li Liu,Taorong Qiu,Yue Lu,Ching Y. Suen作者: irradicable 時(shí)間: 2025-3-26 12:05
Rongfeng Huang,Shifang Liu,Xinyin Zhang,Yang Liu,Yonghua Zhao作者: sphincter 時(shí)間: 2025-3-26 14:50 作者: BOGUS 時(shí)間: 2025-3-26 17:47 作者: ACME 時(shí)間: 2025-3-26 21:11
Projected Entangled Pair State Tensor Network for?Colour Image and?Video Completionring. However, a more general tensor model known as the projected entangled pair state (PEPS) tensor network has not been widely considered for colour image and video processing, although it has long been studied in quantum physics. In this study, we constructed the relationship between the generali作者: chemical-peel 時(shí)間: 2025-3-27 04:00
Artificial Neural Networks for?Downbeat Estimation and?Varying Tempo Induction in?Music Signalssic audio signals. Yet, this mechanism is not straightforward for automated systems and requires further scientific depiction. As automatic music analysis is a crucial step for music structure discovery and music recommendation, downbeat tracking and varying tempo induction have been persistent chal作者: 小隔間 時(shí)間: 2025-3-27 05:32 作者: Psa617 時(shí)間: 2025-3-27 10:23 作者: 下級(jí) 時(shí)間: 2025-3-27 14:03
External Knowledge and?Data Augmentation Enhanced Model for?Chinese Short Text Matchingask of natural language processing, but it still faces challenges such as ambiguity in Chinese words and imbalanced ratio of samples in the training set. To address these problems, we propose an external knowledge and data augmentation enhanced model (EDM) for Chinese short text matching. EDM uses j作者: oxidize 時(shí)間: 2025-3-27 18:01 作者: Fortify 時(shí)間: 2025-3-27 22:02
Local-Global Interaction and?Progressive Aggregation for?Video Salient Object Detection that are not well handled in VSOD. First, facing unequal and unreliable spatio-temporal information in complex scenes, existing methods only exploit local information from different hierarchies for interaction and neglect the role of global saliency information. Second, they pay little attention to作者: 溺愛 時(shí)間: 2025-3-28 02:49
A Fast Stain Normalization Network for?Cervical Papanicolaou Imagese the gap, color normalization is a prerequisite for most CAD algorithms. The existing algorithms with better normalization effect often require more computational consumption, resisting the fast application in large-size medical stain slide images. This paper designs a fast normalization network (F作者: Antecedent 時(shí)間: 2025-3-28 08:53
: Evading Ownership Detection Against Deep Learning Modelsroperty (IP), and it is very important to defend against the model stealing attack. Recently, a well-known approach named Dataset Inference (DI) claimed that by measuring the distance from the sample to the decision boundary, it can be determined whether the theft has occurred..In this paper, we sho作者: glomeruli 時(shí)間: 2025-3-28 11:52
Spatial-Temporal Graph Transformer for?Skeleton-Based Sign Language Recognitionus studies mainly employ hand-craft features or the spatial-temporal graph convolution networks for skeleton modality and neglect the importance of capturing the information between distant nodes and the long-term context in CSLR. To learn more robust spatial-temporal features for CSLR, we propose a作者: 易改變 時(shí)間: 2025-3-28 17:00 作者: BLA 時(shí)間: 2025-3-28 22:46 作者: 消瘦 時(shí)間: 2025-3-29 01:33
Bottom-Up Transformer Reasoning Network for Text-Image Retrieval researches process images and text in one pipeline or are highly entangled, which is not practical and human-friendly in the real world. Moreover, the image regions extracted by Faster-RCNN are highly over-sampled in the image pipeline, which causes ambiguities for the extracted visual embeddings. 作者: inquisitive 時(shí)間: 2025-3-29 05:03
Graph Attention Mixup Transformer for?Graph Classificationraph learning models have the challenge of overfitting because of the huge number of parameters compared to graph neural networks (GNNs). To address this issue, we propose an end-to-end regularized training scheme based on Mixup for graph Transformer models called Graph Attention Mixup Transformer (作者: Palter 時(shí)間: 2025-3-29 08:34
Frequency Spectrum with?Multi-head Attention for?Face Forgery Detectionarious popular heavy-weight convolutional neural networks (CNNs) and vision transformers (ViTs) are developed with high accuracy. These methods have high computational costs and require large datasets for training. Their accuracy drops when tested on unseen datasets. To overcome these limitations, w作者: Scintigraphy 時(shí)間: 2025-3-29 15:24 作者: certitude 時(shí)間: 2025-3-29 16:38 作者: Judicious 時(shí)間: 2025-3-29 20:28 作者: BRINK 時(shí)間: 2025-3-30 00:38
Lihua Lu,Ruyang Li,Hui Wei,Yaqian Zhao,Rengang Li,Binqiang Wanggen Aspekte entlang des Software-Lebenszyklus.Stellt neben d.Lernen Sie mit diesem Buch, wie Sie Software erfolgreich als Medizinprodukt?entwickeln und zulassen.Die zunehmende Digitalisierung bringt enorme Fortschritte in der Medizin. Softwarel?sungen sind l?ngst ein integraler Bestandteil moderner 作者: 修改 時(shí)間: 2025-3-30 07:49
Haoyang Ma,Hongyu Guoschritte in der Medizin. Softwarel?sungen sind l?ngst ein integraler Bestandteil moderner Medizintechnik. Gleichzeitig versch?rft sich die Gesetzgebung für die Entwicklung medizinischer Software zunehmend. Viele Software-Hersteller stehen deshalb vor der Herausforderung, die schnellen Entwicklungen 作者: 商議 時(shí)間: 2025-3-30 09:59
Wei Wang,Ting Zhang,Yiwen Zhao,Xinxin Jin,Harold Mouchere,Xinguo Yuschritte in der Medizin. Softwarel?sungen sind l?ngst ein integraler Bestandteil moderner Medizintechnik. Gleichzeitig versch?rft sich die Gesetzgebung für die Entwicklung medizinischer Software zunehmend. Viele Software-Hersteller stehen deshalb vor der Herausforderung, die schnellen Entwicklungen 作者: Hormones 時(shí)間: 2025-3-30 13:23 作者: 一條卷發(fā) 時(shí)間: 2025-3-30 18:06
Jiawei Cao,Changsheng Lu,Kaijie Wu,Chaochen Gus a compiler (or program) managed cache that can hold a limited number of instructions, which will be executed a specified number of times without incurring any loop overhead. Preliminary versions of the research, which exploit a ZOLB, report significant improvement in execution time with a minimal 作者: 整潔 時(shí)間: 2025-3-30 21:29 作者: 約會(huì) 時(shí)間: 2025-3-31 03:32
Zhengye Xiao,Shiquan Lin,Xiuan Wan,Yuchun Fang,Lan Ni consume a high amount of energy. The use of additional less power hungry memories like caches or scratchpads is thus common. This paper presents a combined approach for energy consumption minimization consisting of two complementary and phase-coupled optimizations, viz. data partitioning and loop n作者: 思考而得 時(shí)間: 2025-3-31 08:01 作者: Clinch 時(shí)間: 2025-3-31 13:12
Ruiguo Yu,Shaoqi Xu,Jian Yu,Zhiqiang Liu,Mei Yuion of decimal floating-point arithmetic [3]. This is?aimed mainly to provide a robust, reliable framework for financial?applications that are often subject to legal requirements concerning rounding and precision of the results in the areas of banking, telephone billing, tax calculation, currency co作者: Esophagus 時(shí)間: 2025-3-31 16:59
Zonghao Yang,Yue Zhou,Ao Chenategory to the same defect. Because this assumption was questioned, our following decision was to study the phenomenon, in the aim of providing empirical evidence. Because defects can be categorized by using different criteria, and the experience of the involved professionals in using such a criteri作者: Antagonism 時(shí)間: 2025-3-31 17:56
Jiaxing Li,Ke Zhang,Xinyan Pu,Youyong Kongor Systems and Technologies of Information, Communication and Control (INSTICC) in cooperation with the Object Management Group (OMG). Hosted by the School of Business of the Polytechnic Institute of Setubal, the conference was sponsored by Enterprise Ireland and the Polytechnic Institute of Setúbal作者: 脫水 時(shí)間: 2025-4-1 01:34 作者: BOOR 時(shí)間: 2025-4-1 05:41
Thomas Ranvier,Haytham Elgazel,Emmanuel Coquery,Khalid Benabdeslems guided us towards a solution based on the software product line paradigm. Multiple options can be easily incorporated to each product, allowing the adequate customization of the final application to the disability of each concrete person. Software product lines are a proven development paradigm in作者: 行乞 時(shí)間: 2025-4-1 09:06 作者: paroxysm 時(shí)間: 2025-4-1 10:41
Artificial Neural Networks for?Downbeat Estimation and?Varying Tempo Induction in?Music Signalsent neural networks to distinguish downbeat instants, supported by a dynamic Bayesian network to jointly infer the tempo estimation and correct the estimated downbeat locations according to the optimal solution. The proposed system outperforms existing algorithms with an achieved F1 score of 88.0%.作者: 船員 時(shí)間: 2025-4-1 17:56 作者: 防水 時(shí)間: 2025-4-1 20:00 作者: 龍蝦 時(shí)間: 2025-4-1 22:58
Bottom-Up Transformer Reasoning Network for Text-Image Retrieval the image and text separately. We also embed the tag information generated by Faster-RCNN to strengthen the connection between the two modalities. Recall at K and normalized discounted cumulative gain metric (NDCG) metrics are used to evaluate our model. Through various experiments, we prove our model can reach state-of-the-art results.作者: 遣返回國 時(shí)間: 2025-4-2 03:31
Autoencoder-Based Attribute Noise Handling Method for?Medical Datantly exists to entirely handle attribute noise in tabular data. We experimentally demonstrate that our method outperforms both state-of-the-art imputation methods and noise correction methods on several real-world medical datasets.作者: Cholesterol 時(shí)間: 2025-4-2 09:16
