標題: 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: STH 時間: 2025-3-21 17:50
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)學科排名
書目名稱Neural Information Processing網(wǎng)絡公開度
書目名稱Neural Information Processing網(wǎng)絡公開度學科排名
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讀者反饋學科排名
作者: 禁止,切斷 時間: 2025-3-21 21:41 作者: 橫條 時間: 2025-3-22 00:59
Conference proceedings 2019different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models..作者: 叢林 時間: 2025-3-22 04:37 作者: PRO 時間: 2025-3-22 09:31
0302-9743 related models; text computing using neural techniques; time-series and related models; and unsupervised neural models..978-3-030-36717-6978-3-030-36718-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: falsehood 時間: 2025-3-22 16:44 作者: overture 時間: 2025-3-22 17:56
HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendationing the embeddings of users and POIs in the heterogeneous graph. Then we devise the ranking module to recommend each user the ultimate ranked list of relevant POIs by utilizing two pairwise feedback comparisons. Experimental results on two real-world datasets demonstrate the effectiveness and superiority of the proposed method.作者: Guileless 時間: 2025-3-22 23:28 作者: RENIN 時間: 2025-3-23 03:45 作者: forager 時間: 2025-3-23 06:31 作者: 險代理人 時間: 2025-3-23 11:26 作者: 陳腐思想 時間: 2025-3-23 15:33 作者: 容易生皺紋 時間: 2025-3-23 21:41 作者: 留戀 時間: 2025-3-24 01:14 作者: 謊言 時間: 2025-3-24 06:26 作者: 思鄉(xiāng)病 時間: 2025-3-24 07:17 作者: V切開 時間: 2025-3-24 13:20
SACIC: A Semantics-Aware Convolutional Image Captioner Using Multi-level Pervasive Attentionechanism recombines an encoding of the image depending on the state of the decoder, to generate the caption sequence. The decoder is predominantly recurrent in nature. In contrast, we propose a novel network possessing attention-like properties that are pervasive through its layers, by utilizing a c作者: 全部 時間: 2025-3-24 16:29
One Analog Neuron Cannot Recognize Deterministic Context-Free Languagesierarchy. This model restricted to integer weights coincides with binary-state NNs with the Heaviside activation function, which are equivalent to finite automata (Chomsky level 3), while rational weights make this model Turing complete even for three analog-state units (Chomsky level?0). For an int作者: carotenoids 時間: 2025-3-24 19:21
Tag-Based Semantic Features for Scene Image Classificational semantic information. Regarding some types of images such as scenes and objects, the annotations and descriptions of them available on the web may provide reliable contextual semantic information for feature extraction. In this paper, we introduce novel semantic features of an image based on the 作者: agenda 時間: 2025-3-25 00:38 作者: 事物的方面 時間: 2025-3-25 03:56 作者: 不理會 時間: 2025-3-25 09:44
Visualizing Readable Instance Graphs of Ontology with Memo Graphuctured based on the PersonLink ontology. This graph ought to be accessible and readable to this particular user. In our previous work, we proposed an ontology visualization tool called Memo Graph. It aims to offer an accessible visualization to Alzheimer’s patients. In this paper, we extend it to a作者: FEIGN 時間: 2025-3-25 14:33
Hippocampus Segmentation in MRI Using Side U-Net Modelown CNN architectures in many different medical image segmentation tasks. However, it is hard to capture subtle local features because of its limitations in standard convolution layers and one output prediction. In addition, some objects like hippocampus in the biomedical image occupies an only smal作者: 抓住他投降 時間: 2025-3-25 16:43
AutoML for DenseNet Compression and learning efficiency of deep convolutional neural networks. However, many of the skip connections in DenseNet are redundant, which may lead to huge consumption of computational resources and computing time. In this paper, we propose an automatic model compression method based on reinforcement le作者: 下級 時間: 2025-3-25 20:18 作者: 貿(mào)易 時間: 2025-3-26 03:50 作者: 整體 時間: 2025-3-26 07:49 作者: Maximizer 時間: 2025-3-26 12:22
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Ben these models is static and continuous-valued. However, a biological neuron processes the information in the form of discrete spikes based on the spike time and the firing rate. Understanding brain activities is vital to understand the mechanisms underlying mental health. Spiking Neural Networks ar作者: Fatten 時間: 2025-3-26 13:57 作者: 植物群 時間: 2025-3-26 18:46 作者: 施魔法 時間: 2025-3-26 21:26
Hong Chen,Hisashi Kogaystems support management, production, and service functions in diverse organisations. Furthermore, the products and services now offered by the non-IT sectors, e.g., the automotive industry or the consumer electronics industry, increasingly contain a component of sophisticated software. For example作者: VEST 時間: 2025-3-27 02:35
Kuan Xu,Yu Qiao,Yueyang Gu,Xiaoguang Niu,Suwei Ma,Xiaobin Xiao,Xingqi Fangystems support management, production, and service functions in diverse organisations. Furthermore, the products and services now offered by the non-IT sectors, e.g., the automotive industry or the consumer electronics industry, increasingly contain a component of sophisticated software. For example作者: tangle 時間: 2025-3-27 08:55 作者: Licentious 時間: 2025-3-27 12:51 作者: 去世 時間: 2025-3-27 15:36 作者: MOAN 時間: 2025-3-27 20:24 作者: magnanimity 時間: 2025-3-28 00:39 作者: 懶鬼才會衰弱 時間: 2025-3-28 04:20 作者: Oration 時間: 2025-3-28 07:21 作者: fastness 時間: 2025-3-28 14:20 作者: nettle 時間: 2025-3-28 16:23
Fatma Ghorbel,Wafa Wali,Fay?al Hamdi,Elisabeth Métais,Bilel Gargouriustry leaders.Fully compatible to the ISO 15939 general meas.Our world and our society are shaped and increasingly governed by software. Since software is so ubiquitous and embedded in nearly everything we are doing, we need to stay in control. We have to make sure that the systems and their softwar作者: 暖昧關系 時間: 2025-3-28 18:53
ustry leaders.Fully compatible to the ISO 15939 general meas.Our world and our society are shaped and increasingly governed by software. Since software is so ubiquitous and embedded in nearly everything we are doing, we need to stay in control. We have to make sure that the systems and their softwar作者: Monotonous 時間: 2025-3-29 01:21 作者: Esalate 時間: 2025-3-29 04:18
Dhvani Shah,Grace Y. Wang,Maryam Doborjeh,Zohreh Doborjeh,Nikola Kasabovrt estimations and staffing decisions are often based on productivity knowledge of the software development process. Quality-based productivity management is introduced as one approach for achieving and using such process knowledge. Fuzzy rules are used as a basis for constructing quality models tha作者: 大喘氣 時間: 2025-3-29 07:22 作者: 燈泡 時間: 2025-3-29 13:37 作者: MOT 時間: 2025-3-29 17:43
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663587.jpg作者: 冷漠 時間: 2025-3-29 22:29 作者: 宣傳 時間: 2025-3-30 00:17
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Featuresc (Graph and Line graph to vector) because it concatenates the embedding of an original graph to that of the corresponding line graph. Experimentally, GL2vec achieves significant improvements in graph classification task over Graph2vec for many benchmark datasets.作者: endocardium 時間: 2025-3-30 05:50 作者: tenuous 時間: 2025-3-30 11:06 作者: 喃喃訴苦 時間: 2025-3-30 14:19
One Analog Neuron Cannot Recognize Deterministic Context-Free Languages we generalize this result by showing that any non-regular DCFL cannot be recognized by 1ANNs with real weights, which means (DCFLs . REG.2ANNs . 1ANNs), implying 0ANNs . 1ANNs . DCFLs. For this purpose, we show that . is the simplest non-regular DCFL by reducing . to any language in this class, whi作者: 誘惑 時間: 2025-3-30 17:40
Tag-Based Semantic Features for Scene Image Classificationenerate filter words (codebook). Finally, each image is represented by the histogram of the occurrences of filter words in all categories. We evaluate the performance of the proposed features in scene image classification on three commonly-used scene image datasets (i.e., MIT-67, Scene15 and Event8)作者: 遺傳 時間: 2025-3-30 23:17 作者: incision 時間: 2025-3-31 03:05
Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit of decision-making. Experiments in the random-dot motion discrimination task demonstrate that the proposed spiking decision-making circuit exhibits WTA property and has a better performance compared with unsupervised STDP.作者: 狂熱語言 時間: 2025-3-31 06:15
Homeostasis-Based CNN-to-SNN Conversion of Inception and Residual Architecturesrimental results on CIFAR dataset show that the SNNs built by the conversion framework achieve better performance than those trained with spike-based algorithms. In particular, the accuracy gap between converted SNNs and original CNNs is further reduced, which is helpful for large-scale employment o
