標(biāo)題: Titlebook: Algorithms and Architectures for Parallel Processing; 15th International C Guojun Wang,Albert Zomaya,Kenli Li Conference proceedings 2015 S [打印本頁] 作者: 縮寫 時間: 2025-3-21 16:08
書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)
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書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡(luò)公開度
書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Algorithms and Architectures for Parallel Processing被引頻次
書目名稱Algorithms and Architectures for Parallel Processing被引頻次學(xué)科排名
書目名稱Algorithms and Architectures for Parallel Processing年度引用
書目名稱Algorithms and Architectures for Parallel Processing年度引用學(xué)科排名
書目名稱Algorithms and Architectures for Parallel Processing讀者反饋
書目名稱Algorithms and Architectures for Parallel Processing讀者反饋學(xué)科排名
作者: Ballerina 時間: 2025-3-21 23:46 作者: 團(tuán)結(jié) 時間: 2025-3-22 00:45 作者: Antagonism 時間: 2025-3-22 08:32 作者: 嘲弄 時間: 2025-3-22 10:40
DBSCAN-M: An Intelligent Clustering Algorithm Based on Mutual Reinforcementcircumstance of high noise density forming new clusters. The proposed algorithm is a synthesis of density clustering theory from DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and mutual reinforcement from HITS (Hypertext Induced Topic Search) within search engine technology. T作者: stratum-corneum 時間: 2025-3-22 16:17
An Effective Method for Gender Classification with Convolutional Neural Networksis able to improve the performance of many other applications, including image or video retrieval, security monitoring, human-computer interaction and so on. In this paper, an effective method for gender classification task in frontal facial images based on convolutional neural networks (CNNs) is pr作者: 脊椎動物 時間: 2025-3-22 20:36 作者: Ventilator 時間: 2025-3-22 22:47 作者: wall-stress 時間: 2025-3-23 05:01 作者: sacrum 時間: 2025-3-23 07:49
LuBase: A Search-Efficient Hybrid Storage System for Massive Text Data fault tolerance, are extensively used in real productions. However, such systems are mostly designed for processing immutable data stored in HDFS, not suitable for real-time text data in NoSQL database like HBase. In this paper, we propose a search-efficient hybrid storage system termed LuBase for 作者: 后來 時間: 2025-3-23 10:58 作者: Arable 時間: 2025-3-23 15:44
Tradeoff Between the Price of Distributing a?Database and Its Collusion Resistance Based on?Concatenusion attack, which is when purchasers of a database illegally combine their versions of it in order to de-anonymize the private information it contains. However, the purchasing of customer database is only available in the black market. In this paper, we first investigated the relationship between 作者: ALE 時間: 2025-3-23 18:38
A MapReduce Reinforced Distributed Sequential Pattern Mining Algorithmig data. Along the way, the critical issue is how to minimize the communication overhead of the distributed sequential pattern mining algorithm and maximize its execution efficiency by balancing the workload of distributed computing resources. To address such an issue, this paper proposes a MapReduc作者: 可觸知 時間: 2025-3-24 00:36 作者: 沒血色 時間: 2025-3-24 04:30
Identification of Natural Images and Computer Generated Graphics Using Multi-fractal Differences of of multi-fractal dimensions and singular index of natural images general have large variation range. Based on this, multi-fractal spectrum features of photo response non-uniformity noise (PRNU) are used for the identification of natural images and computer generated graphics. 9 dimensions of textur作者: 不能強迫我 時間: 2025-3-24 06:48
Feature Selection Method Based on Feature’s Classification Bias and Performancee with a global score. There are two shortcomings of this strategy, i.e., partially predominant features submerged and classification redundancies for multi-features estimated inappropriately. In this paper, a new feature selection method based on . and . is proposed. Classification bias describes f作者: Compatriot 時間: 2025-3-24 11:28 作者: syncope 時間: 2025-3-24 17:35 作者: 法律的瑕疵 時間: 2025-3-24 21:12 作者: 無力更進(jìn) 時間: 2025-3-25 01:44
https://doi.org/10.1007/978-3-319-27122-4Parallel Computing; Distributed Computing; Programming Models; Network Computing; Dependability; Big Data作者: 圣歌 時間: 2025-3-25 04:33
978-3-319-27121-7Springer International Publishing Switzerland 2015作者: hazard 時間: 2025-3-25 08:04 作者: Deduct 時間: 2025-3-25 15:24
Der Innovationsgrad als Schlüsselvariabletion method to address the performance metrics, such as accuracy, instantaneity and stability, systematically. In the paper, we propose a novel approach to predict the urban traffic congestion efficiently with floating car trajectory data. Specially, an innovative traffic flow prediction method util作者: 控訴 時間: 2025-3-25 16:09 作者: pulmonary-edema 時間: 2025-3-25 23:51
https://doi.org/10.1007/978-3-642-86140-6. With the rapid increase in the sizes of datasets, the iterative training process of GBRT becomes very time-consuming over large scale data. In this paper, we aim to speed up the training process of each tree in the GBRT framework. First, we propose a novel KMeans histogram building algorithm which作者: 羽毛長成 時間: 2025-3-26 00:49 作者: SUGAR 時間: 2025-3-26 07:24
https://doi.org/10.1007/978-3-322-83652-6is able to improve the performance of many other applications, including image or video retrieval, security monitoring, human-computer interaction and so on. In this paper, an effective method for gender classification task in frontal facial images based on convolutional neural networks (CNNs) is pr作者: PHONE 時間: 2025-3-26 11:49
https://doi.org/10.1007/978-3-476-04185-2to retrieve the desired cup of data from the ocean, as most applications only need a fraction of the entire data set. As the indexing and retrieving method is intrinsically connected with specific features of the data set and the goal of research, a universal solution is hardly possible. Designed fo作者: CRAMP 時間: 2025-3-26 14:41
https://doi.org/10.1007/978-3-642-95968-4we design a hardware implementation of K-means based on FPGA, named SAKMA, which can accelerate the whole algorithm in hardware and can be easily configured via parameters. What’s more, the accelerator makes the data size unlimited and can solve the problem about frequent off-chip memory access in a作者: 延期 時間: 2025-3-26 19:44
Getrennt aufgewachsene eineiige Zwillinge,h memory. However, it is very challenging to effectively identify hot data with low memory consumption and low runtime overhead. This paper proposes a Hot Data Catcher (HDCat) which can effectively identify hot data in large-scale I/O streams by leveraging enhanced temporal locality. HDCat only main作者: chronicle 時間: 2025-3-26 23:14 作者: Deduct 時間: 2025-3-27 02:55 作者: Anthropoid 時間: 2025-3-27 05:46 作者: 裁決 時間: 2025-3-27 09:58
https://doi.org/10.1007/978-3-642-47441-5ig data. Along the way, the critical issue is how to minimize the communication overhead of the distributed sequential pattern mining algorithm and maximize its execution efficiency by balancing the workload of distributed computing resources. To address such an issue, this paper proposes a MapReduc作者: sulcus 時間: 2025-3-27 16:41
https://doi.org/10.1007/978-3-8350-9379-9mation retrieval and data mining field gradually. These studies have achieved some success while still having very great limitations to deal with abundant features of documents. Things get worser especially in the big data environment, where the documents amount is considerably huge. In order to add作者: Fecundity 時間: 2025-3-27 19:30
Strategisches Kompetenz-Management of multi-fractal dimensions and singular index of natural images general have large variation range. Based on this, multi-fractal spectrum features of photo response non-uniformity noise (PRNU) are used for the identification of natural images and computer generated graphics. 9 dimensions of textur作者: Restenosis 時間: 2025-3-28 01:47
https://doi.org/10.1007/978-3-8350-9379-9e with a global score. There are two shortcomings of this strategy, i.e., partially predominant features submerged and classification redundancies for multi-features estimated inappropriately. In this paper, a new feature selection method based on . and . is proposed. Classification bias describes f作者: 加強防衛(wèi) 時間: 2025-3-28 02:15
https://doi.org/10.1007/978-3-8350-9379-9s in the given document collection to the document. By restricting the relatedness to the expected frequencies that each word will occur in the document, the traditional weighted sum of word vectors is proved to give the upper bounds of the expected frequencies. Duplicate counts usually exist during作者: Madrigal 時間: 2025-3-28 08:05
Strategisches Kompetenz-Managementfic accident data from October 2014 to March 2015 in Xiamen, China, we propose a novel accident occurrences analytics method in both spatial and temporal dimensions to predict when and where an accident with a specific crash type will occur consequentially by whom. Firstly, we analyze and visualize 作者: FIN 時間: 2025-3-28 13:41
Guojun Wang,Albert Zomaya,Kenli LiIncludes supplementary material: 作者: Bumble 時間: 2025-3-28 17:44 作者: 生命層 時間: 2025-3-28 20:24
0302-9743 tional Conference on Algorithms and Architectures for ParallelProcessing, ICA3PP 2015, held in Zhangjiajie, China, in November 2015...The 219revised full papers presented together with 77 workshop papers in these fourvolumes were carefully reviewed and selected from 807 submissions (602 fullpapers a作者: MUT 時間: 2025-3-29 02:52 作者: invert 時間: 2025-3-29 06:12 作者: Contort 時間: 2025-3-29 09:11 作者: 盡管 時間: 2025-3-29 12:20 作者: Loathe 時間: 2025-3-29 18:32
https://doi.org/10.1007/978-3-642-92575-7he same time. We implemented LuBase in a data analytics system based on Impala. Experimental results demonstrate that LuBase can reap huge fruits from Lucene index technique and bring significant performance improvement for Impala when querying HBase.作者: foodstuff 時間: 2025-3-29 20:11
Strategisches Kompetenz-Managementaccomplished by using LIBSVM classifier. Experimental results and analysis indicate that it can obtain an average identification accuracy of 99.69?%, and it is robust against resizing, JPEG compression, rotation and additive noise.作者: 行業(yè) 時間: 2025-3-29 23:55
https://doi.org/10.1007/978-3-8350-9379-9vectorization representation of feature’s classification ability is beneficial for those partially predominant features winning out. Also multi-features’ classification redundancies are easily measured in the new space. Experimental results demonstrate the effectiveness of the new method on both low-dimensional and high-dimensional data.作者: Projection 時間: 2025-3-30 06:33
Strategisches Kompetenz-Managementfic police department implement instant personnel assignments among simultaneous accidents, but also inform individual drivers about accident-prone sections and the time span which requires their most attention.作者: Inelasticity 時間: 2025-3-30 09:14
Parallel Training GBRT Based on KMeans Histogram Approximation for Big Data Learning To Rank(LTR) benchmark datasets and the large-scale real-world datasets from Baidu search engine. The experimental results show that our proposed parallel training algorithm outperforms the state-of-the-art parallel GBRT algorithm with near 2 times speedup and better accuracy. Also, our algorithm achieves the near-linear scalability.作者: 險代理人 時間: 2025-3-30 13:27
AQUAdex: A Highly Efficient Indexing and Retrieving Method for Astronomical Big Data of Time Series ch is proven by theoretical analysis and experimental results. AQUAdex is especially suitable for Big Data applications because of its excellent scalability. The query time only increases 59?% while the data size grows 14 times larger.作者: Foregery 時間: 2025-3-30 18:48 作者: NEG 時間: 2025-3-30 22:00 作者: 音樂戲劇 時間: 2025-3-31 01:01 作者: 演繹 時間: 2025-3-31 05:49
Identification of Natural Images and Computer Generated Graphics Using Multi-fractal Differences of accomplished by using LIBSVM classifier. Experimental results and analysis indicate that it can obtain an average identification accuracy of 99.69?%, and it is robust against resizing, JPEG compression, rotation and additive noise.作者: 貧窮地活 時間: 2025-3-31 10:33
Feature Selection Method Based on Feature’s Classification Bias and Performancevectorization representation of feature’s classification ability is beneficial for those partially predominant features winning out. Also multi-features’ classification redundancies are easily measured in the new space. Experimental results demonstrate the effectiveness of the new method on both low-dimensional and high-dimensional data.作者: PLIC 時間: 2025-3-31 16:37
Big Data Analytics and Visualization with Spatio-Temporal Correlations for Traffic Accidentsfic police department implement instant personnel assignments among simultaneous accidents, but also inform individual drivers about accident-prone sections and the time span which requires their most attention.作者: 掃興 時間: 2025-3-31 19:06
Conference proceedings 2015hird volume are:applications of parallel and distributed computing and service dependabilityand security in distributed and parallel systems. The covered topics of the fourthvolume are: software systems and programming models and performance modelingand evaluation...?.作者: Ingrained 時間: 2025-3-31 23:33
