標(biāo)題: Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat [打印本頁] 作者: 太平間 時間: 2025-3-21 17:41
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: 小臼 時間: 2025-3-21 21:56 作者: GOUGE 時間: 2025-3-22 01:31 作者: EXALT 時間: 2025-3-22 07:56
Neural Information Processing978-3-030-04212-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Amplify 時間: 2025-3-22 10:43
Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt Independence Criterion with ely dealt with via feature selection procedure. Unbiased Hilbert-Schmidt independence criterion (HSIC) is a kernel-based dependence measure between feature and label data, which has been combined with greedy search techniques (e.g., sequential forward selection) to search for a locally optimal featu作者: Apoptosis 時間: 2025-3-22 16:44
Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait and personalized gait trajectories designed for robot assisted gait training are very important for improving the therapeutic results. Meanwhile, it has been proved that human gaits are closely related to anthropometric features, which however has not been well researched. Therefore, a method based 作者: Suppository 時間: 2025-3-22 18:43
Robust Multi-view Features Fusion Method Based on CNMFmultiple views to obtain the new feature representation of the object using a right model. In practical applications, Collective Matrix Factorization (CMF) has good effects on the fusion of multi-view data, but for noise-containing situations, the generalization ability is poor. Based on this, the p作者: 大暴雨 時間: 2025-3-23 01:16 作者: Hemoptysis 時間: 2025-3-23 01:48
An Effective Discriminative Learning Approach for Emotion-Specific Features Using Deep Neural Networdering certain tasks from achieving better performance. Therefore, automatically learning a good representation that disentangles these components is non-trivial. In this paper, we propose a hierarchical method to extract utterance-level features from frame-level acoustic features using deep neural 作者: 擋泥板 時間: 2025-3-23 08:53
Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition perceptual features such as low-level descriptors (LLDs) and their statistical values were not utilized sufficiently in CNN-based emotion recognition. To solve this problem, we propose novel features to combine spectrogram and perceptual features in different levels. Firstly, frame-level LLDs are a作者: 打包 時間: 2025-3-23 10:44
Feature Selection Based on Fuzzy Conditional Distinction Degreeon entropy exploit the correlations between features and labels, lacking of taking into account the relevance between features. In this paper, we propose a new index for feature selection, named fuzzy conditional distinction degree (FDD), based on fuzzy similarity relation by combining feature corre作者: facetious 時間: 2025-3-23 14:12
Multi-label Feature Selection Method Based on Multivariate Mutual Information and Particle Swarm Optputational burdens, improve classification performance and enhance model interpretability, in multi-label learning. Mutual information (MI) between two random variables is widely used to describe feature-label relevance and feature-feature redundancy. Furthermore, multivariate mutual information (MM作者: periodontitis 時間: 2025-3-23 21:48 作者: Explicate 時間: 2025-3-23 23:17 作者: ALTER 時間: 2025-3-24 03:32 作者: Grating 時間: 2025-3-24 09:22 作者: 細(xì)胞學(xué) 時間: 2025-3-24 14:22 作者: 美食家 時間: 2025-3-24 18:32 作者: condemn 時間: 2025-3-24 19:22
Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segment obtain satisfactory performance for image segmentation under intense noise condition. This paper presents a novel local spatial information based fuzzy c-means clustering and Markov random field method for image segmentation. In the method, a new dissimilarity function is proposed by using the prio作者: 歌劇等 時間: 2025-3-25 02:35 作者: Arctic 時間: 2025-3-25 05:39 作者: flammable 時間: 2025-3-25 09:39
teraction with their environment. Temporal logic is one of the methods for formal specification descriptions of reactive systems. By describing the formal specifications of reactive systems we can check the consistency of the specifications and whether they contain defects. By using a synthesis algo作者: HUSH 時間: 2025-3-25 15:04 作者: engender 時間: 2025-3-25 18:18
Xinyu Zhang,Hao Sheng,Yang Zhang,Jiahui Chen,Yubin Wu,Guangtao Xue,Quanrui Weiuring the enrolment process and stored in the biometric database, will never match any freshly offered biometric data exactly (100%). This is commonly accepted due to the nature of the biometric algorithm [2] central to the biometric environment..A password or pin on the other hand, is a symmetric a作者: 擦掉 時間: 2025-3-25 22:51 作者: Melodrama 時間: 2025-3-26 00:50 作者: 規(guī)章 時間: 2025-3-26 04:23
Xiaoyi Hu,Liping Lu,Dongdong Zhao,Jianwen Xiang,Xing Liu,Haiying Zhou,Shengwu Xiong,Jing Tian the study reported by ?gerfalk and Fitzgerald (2008) and uses the set of company and community cues derived in that study (in the original publication, these were referred to as obligations). In the study, we asked both company and community interviewees to discuss their perceptions of their own ob作者: overrule 時間: 2025-3-26 09:35 作者: 分解 時間: 2025-3-26 15:20
Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait ed by an optimization method based on the minimal-redundancy-maximal-relevance criterion. Moreover, the relationship between the simplified features and human gaits is modeled by using a random forest algorithm, based on which the patient-specific gait trajectories can be predicted. Finally, the per作者: Allege 時間: 2025-3-26 20:06 作者: chronicle 時間: 2025-3-26 21:39 作者: IRK 時間: 2025-3-27 04:00 作者: acquisition 時間: 2025-3-27 08:13
Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clustersary Information). The key difference is that our technique exploits the clustering information in a feedback loop to further refine the boundary. Experimental results show that our technique is more robust and can produce more representative boundary points than SCUBI, especially on complex datasets作者: BLANC 時間: 2025-3-27 12:52
Shixin Ren,Weiqun Wang,Zeng-Guang Hou,Xu Liang,Jiaxing Wang,Liang Peng作者: In-Situ 時間: 2025-3-27 16:50
Jiaxing Wang,Weiqun Wang,Zeng-Guang Hou,Xu Liang,Shixin Ren,Liang Peng作者: Fortify 時間: 2025-3-27 21:49
Linjuan Zhang,Longbiao Wang,Jianwu Dang,Lili Guo,Haotian Guan作者: Anal-Canal 時間: 2025-3-27 23:09 作者: breadth 時間: 2025-3-28 04:18 作者: fixed-joint 時間: 2025-3-28 07:54
are given showing the sufficient conditions for these security properties and showing formally the difference between asymmetric encryption and symmetric encryption scheme. Some security properties can be achieved in case of asymmetric encryption and cannot be achieved in case of symmetric encrypti作者: 浮雕 時間: 2025-3-28 11:04 作者: 上下連貫 時間: 2025-3-28 18:28 作者: APEX 時間: 2025-3-28 22:05
Wen-ming Cao,Rui Li,Sheng Qian,Si Wu,Hau-San Wongto the open source research agenda, in particular the liberation of hitherto proprietary software. As noted above, most research on outsourcing has adopted a single perspective: the customer or the supplier (but most often focusing on the customer), while this study considered both the customer (in 作者: 去掉 時間: 2025-3-29 02:15 作者: idiopathic 時間: 2025-3-29 05:53 作者: 正式演說 時間: 2025-3-29 09:14
0302-9743 s different domains.?The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection.?.978-3-030-04211-0978-3-030-04212-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 慢慢啃 時間: 2025-3-29 13:11
Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulationdetermined by random numbers were added to each sample. For these sample sets, the conventional methods and the proposed method were applied, and it was examined whether the feature forming the boundary was selected. Our results demonstrate that feature selection was difficult with the conventional methods but possible with our proposed method.作者: Badger 時間: 2025-3-29 17:53
A Storm-Based Parallel Clustering Algorithm of Streaming Dataat the proposed algorithm can effectively improve the cluster repetition in clustering results and greatly improve the accuracy and efficiency of clustering compared with the traditional Single-Pass algorithm.作者: 正常 時間: 2025-3-29 20:18 作者: 雄偉 時間: 2025-3-30 02:40
Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segmentwith spatial Euclidean distance and the difference of the mean color level between the center pixel and its neighborhoods. Experiments over synthetic images, real-world images and brain MR images indicate that the proposed method obtains better segmentation performance, compared to the FCM extended methods.作者: Asperity 時間: 2025-3-30 08:06
0302-9743 ,?ICONIP 2018, held in Siem Reap, Cambodia, in December 2018..The 401?full papers presented were carefully?reviewed and selected from 575 submissions. The papers?address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques acros作者: 向外才掩飾 時間: 2025-3-30 12:07
An Effective Discriminative Learning Approach for Emotion-Specific Features Using Deep Neural Networ train the DNNs to obtain separable and discriminative emotion-specific features. Experiments on CASIA corpus, Emo-DB corpus and SAVEE database show comparable results with that of state-of-the-art approaches.作者: LITHE 時間: 2025-3-30 15:06 作者: Arroyo 時間: 2025-3-30 19:49 作者: 冷淡一切 時間: 2025-3-30 23:35 作者: 到婚嫁年齡 時間: 2025-3-31 03:44 作者: Compass 時間: 2025-3-31 08:20
Privacy-Preserving K-Means Clustering Upon Negative Databasesand cluster centers, in order to solve the problem of privacy disclosure in this step, we transform each record in database into an . and propose a method to estimate Euclidean distance from a binary string and an .. Our work opens up new ideas for data mining upon negative database.作者: 巨碩 時間: 2025-3-31 11:58 作者: babble 時間: 2025-3-31 14:16
Conference proceedings 2018s?address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains.?The 4th volume, LNCS 11304, is organized in topical sections on feature selection, clustering, classification, and detection.?.作者: Highbrow 時間: 2025-3-31 18:17
10樓作者: conservative 時間: 2025-4-1 00:43
10樓作者: FATAL 時間: 2025-4-1 01:53
10樓
