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检索条件"任意字段=3rd International Conference on Distributed Computing and Internet Technology"

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A Word distributed Representation Based Framework for Large-scale Short Text Classification

A Word Distributed Representation Based Framework for Large-...

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international Joint conference on Neural Networks

作者： Di Yao Jingping Bi Jianhui Huang Jin Zhu Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781479919611

With the development of internet, there are billions of short texts generated each day. However, the accuracy of large scale short text classification is poor due to the data sparseness. Traditional methods used to use external dataset to enrich the representation of document and solve the data sparsity problem. But external dataset which matches the specific short texts is hard to find. In this paper, we propose a framework to solve the data sparsity problem without using external dataset. Our framework deal with large scale short text by making the most of semantic similarity of words which learned from the training short texts. First, we learn word distributed representation and measure the word semantic similarity from the training short texts. Then, we propose a method which enrich the document representation by using the word semantic similarity information. At last, we build classifiers based on the enriched representation. We evaluate our framework on both the benchmark dataset(Standford Sentiment Treebank) and the large scale Chinese news title dataset which collected by ourselves. For the benchmark dataset, using our framework can improve 3% classification accuracy. The result we tested on the large scale Chinese news title dataset shows that our framework achieve better result with the increase of the training set size.

关键词： Text categorization Frameworks Word texts Dataset document representations Semantics representations

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FACIAL AGE ESTIMATION USING BIO-INSPIRED FEATURES AND COST-SENSITIVE OrdINAL HYPERPLANE RANK 3

FACIAL AGE ESTIMATION USING BIO-INSPIRED FEATURES AND COST-S...

引用

3rd IEEE international conference on Cloud computing and Intelligence Systems (CCIS)

作者： Sun, Xiaohu Wu, Pingping Liu, Hong Northwest Univ Sch Informat Sci & Technol Xian 710127 Peoples R China Peking Univ Engn Lab Intelligent Percept Internet Things ELIP Beijing 100087 Peoples R China Peking Univ Key Lab Machine Percept Beijing 100087 Peoples R China

ISBN: (纸本)9781479947195

Automatic age estimation relying on human facial images is a key technology of many real-world applications, which is still a challenging task in the computer vision field. There are three cascade modules for facial age estimation: facial aging feature extraction, dimension reduction (or feature selection) and estimation method. Many existing literatures focus on the first or last module while for an age estimation system, it's also important to construct a reasonable framework. Our work focuses on creating an effective framework by selecting methods for these modules reasonably. Firstly, a BIM (bio-inspired model) is employed to extract facial aging features because it can not only capture discriminative local and global features, but also overcome interferences of some 2D deformations to some extent. Then, LDA (linear discriminant analysis) is used for reducing the BIF (bio-inspired features) to lower dimensions and extracting more discriminative information at the same time. Finally, CS-OHRank (cost-sensitive ordinal hyperplane rank), which tackles with sparse data well and reflects the cumulative attributes of aging, is applied as the estimation method. Experimental results on benchmark dataset FG-NET show that our framework combining BIF, LDA and CS-OHRank is competitive among the state of the art, with MAE (mean absolute error) = 4.72 years

关键词： Age estimation Bio-inspired features Linear discriminant analysis Cost-sensitive ordinal hyperplane rank

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ROBUST HAND TRACKING WITH POSTURE RECOGNITION VIA ONLINE LEARNING 3

ROBUST HAND TRACKING WITH POSTURE RECOGNITION VIA ONLINE LEA...

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3rd IEEE international conference on Cloud computing and Intelligence Systems (CCIS)

作者： Huang, Huasong Zhou, Yulong Chen, Pengjin Ding, Runwei Shenzhen Natl Engn Lab Digital Televis Co Ltd Shenzhen Peoples R China Peking Univ Shenzhen Grad Sch Engn Lab Intelligent Percept Internet Things ELIP Shenzhen 518055 Peoples R China

ISBN: (纸本)9781479947195

Robust hand tracking is a great challenge due to human hand's small size and drastic appearance changes. Recently, machine learning especially online learning methods have shown their promising ability in object tracking. This paper successfully achieved hand tracking under a lately popular online learning framework named Tracking-Learning-Detection (TLD) by a win-win thought that hand tracking and posture recognition can benefit from each other. Firstly, the object model is extended in order to import posture recognition which is done without extra recognition algorithms. In turn, the introducing of hand postures enhance hand tracking since the tracker is adaptive to different hand shapes. At last, skin color is sufficiently applied in every module (tracking, learning and detection) of TLD further improving the speed and accuracy of tracking. Experiments show that the proposed method works well on hand tracking with the additional ability to recognize some given hand postures under various difficulties.

关键词： Hand tracking TLD Online learning

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Performance evaluation of ICN/CCN based service migration approach in virtualized LTE systems 3

Performance evaluation of ICN/CCN based service migration ap...

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3rd IEEE international conference on Cloud Networking (CloudNet)

作者： Satria, Triadimas Arief Karimzadeh, Morteza Karagiannis, Georgios Univ Twente Enschede Netherlands

ISBN: (纸本)9781479927302

The continuous growth in using mobile devices (e.g. smart phones, tablets, etc.) has increased the complexity in provisioning cellular network resources. Applying the cloud computing model in LTE (Long Term Evolution) systems could be a good solution to increase LTE's performance by building a shared distributed mobile network that can optimize the utilization of resources, minimize communication delays, and avoid bottlenecks. One of the most important concepts used in mobile networks is service continuity. Mobile users moving from one sub-network to another should be able to seamlessly continue to retrieve content and use services (e.g. video streaming, electronic games, VoIP, etc.) that they want. In this paper, the Information Centric Networking/Content Centric Networking (ICN/CCN) approach is proposed to be used as a solution for service continuity in virtualized LTE systems. By using NS3 simulation experiments it is shown that the introduced approach is able to satisfy the performance related service continuity requirements.

关键词： ICN CCN LTE Service Continuity Cloud computing Virtualization

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An OVF Toolkit Supporting Inter-Cloud Application Splitting 3

An OVF Toolkit Supporting Inter-Cloud Application Splitting

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3rd IEEE international conference on Cloud Networking (CloudNet)

作者： Anastasi, Gaetano F. Carlini, Emanuele Coppola, Massimo Dazzi, Patrizio Distefano, Marco CNR ISTI Rome Italy

ISBN: (纸本)9781479927302

The Open Virtualization Format (OVF) is a software packaging standard designed to support the portability and deployment of applications in different virtualization platforms. Ease interoperability and portability among cloud providers is of paramount importance to mitigate vendor lock-in and fostering cooperation among different cloud technologies. To this end, the researcher community is spending a lot of effort in investigating cloud broker and cloud federation solutions. However, we feel that the community still misses an open-source reference tool for the management of these operations when it comes to the OVF standard. With the aim to fill this gap, we propose the OVF Toolkit, an open tool to parse, render, and split OVF files. This paper describes the principal design decisions, the implementation, and the capabilities of the toolkit, as well as its experimental evaluation.

关键词： Cloud computing Utility programs Software libraries Open Virtualization Format

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distributed Circuit Simulation by using Backward-traversing Waveform Relaxation

Distributed Circuit Simulation by using Backward-traversing ...

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3rd international conference on Mechanical, Control, and Electronic Information (ICMCEI)

作者： Chen, Chun-Jung Yang, Tai-Ning Sun, Jenn-Dong Tsai, Chang-Lung Chinese Culture Univ Dept Comp Sci Taipei Taiwan

ISBN: (纸本)9783038351559

This paper describes methods to utilize the multi-core PC as well as computers connected by internet to perform MOSFET circuit simulations. The Combining Simulation Method (CSM) is the used parallel algorithm. This paper also presents an automatic method to partition the simulation jobs in CSM. All proposed methods have been implemented and tested. Experimental results justify pleasing effects of proposed methods.

关键词： circuit simulation parallel computing relaxation-based simulation-on-demand

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KOSHIK- A large-scale distributed computing framework for NLP

KOSHIK- A large-scale distributed computing framework for NL...

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3rd international conference on Pattern Recognition Applications and Methods, ICPRAM 2014

作者： Exner, Peter Nugues, Pierre Department of Computer Science Lund University Lund Sweden

ISBN: (纸本)9789897580185

In this paper, we describe KOSHIK, an end-to-end framework to process the unstructured natural language content of multilingual documents. We used the Hadoop distributed computing infrastructure to build this framework as it enables KOSHIK to easily scale by adding inexpensive commodity hardware. We designed an annotation model that allows the processing algorithms to incrementally add layers of annotation without modifying the original document. We used the Avro binary format to serialize the documents. Avro is designed for Hadoop and allows other data warehousing tools to directly query the documents. This paper reports the implementation choices and details of the framework, the annotation model, the options for querying processed data, and the parsing results on the English and Swedish editions of Wikipedia. Copyright © 2014 SCITEPRESS.

关键词： MapReduce

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QoS Management by Competitive Agent-based Negotiation in distributed Cloud Services 3

QoS Management by Competitive Agent-based Negotiation in Dis...

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3rd IEEE international conference on Cloud Networking (CloudNet)

作者： Ravindran, Kaliappa CUNY City Coll New York NY 10019 USA CUNY Grad Ctr New York NY 10019 USA

ISBN: (纸本)9781479927302

Agent-level negotiations between an application and a cloud service provider (SP) face two complexities: i) inaccuracy of computational models in capturing the behavior of a cloud-based system made up of diverse components and resources;and ii) disparity in the goals and priorities of an application and the SP in exercising a cloud-based system. The paper suggests trial actions by an agent to learn about the system behavior and the opponent agent goals, as part of effective negotiation strategy. The paper identifies transaction-style primitives for agents to invoke trial actions on the system QoS space: searching, alternations, and improvements. A larger goal of optimal QoS control can be achieved with our primitives. A case study of CDN realized on a cloud is also described.

关键词： cloud computing learning (artificial intelligence) quality of service software agents QoS management SP agent-based negotiation automated learning cloud service provider transaction-style primitives Bandwidth conferences Delays Quality of service Resource management Servers Quality of service Cloud computing Intelligent agents Servers management of resources Bandwidth negotiations CLOUDS Clouds Agents system behavior delay

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2014 IEEE 3rd international conference on Cloud Networking, CloudNet 2014

2014 IEEE 3rd International Conference on Cloud Networking, ...

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2014 3rd IEEE international conference on Cloud Networking, CloudNet 2014

ISBN: (纸本)9781479927302

The proceedings contain 80 papers. The topics discussed include: a resource discovery framework for cloud-based genomics computing;specifying and placing chains of virtual network functions;structured cloud federation for carrier and isp infrastructure;adaptive energy efficient distributed VoIP load balancing in federated cloud infrastructure;meteorological applications utilizing grid and cloud computing;on traffic fairness in data center fabrics;efficient UDP-based congestion aware transport for data center traffic;assessing the impact of intra-cloud live migration on anomaly detection;a power efficient genetic algorithm for resource allocation in cloud computing data centers;achieving end-to-end real-time quality of service with software defined networking;and dynamic allocation and efficient distribution of data among multiple clouds using network coding.

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Grid-based Search Technique for Massive Academic Publications 3

Grid-based Search Technique for Massive Academic Publication...

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3rd ICT international Student Project conference (lSPC)

作者： Bashir, Mohammed Bakri Abd Latiff, Muhammad Shafie Abdulhamid, Shafi'i Muhammad Loon, Cheah Tek UTM Fac Comp Dept Comp Sci Johor Baharu Malaysia

ISBN: (纸本)9781479955732

the numerical size of academic publications that are being published in recent years had grown rapidly. Accessing and searching massive academic publications that are distributed over several locations need large amount of computing resources to increase the system performance. Therefore, many grid-based search techniques were proposed to provide flexible methods for searching the distributed extensive data. This paper proposes search technique that is capable of searching the extensive publications by utilizing grid computing technology. The search technique is implemented as interconnected grid services to offer a mechanism to access different data locations. The experimental result shows that the grid-based search technique has enhanced the performance of the search.

关键词： Grid computing academic publications massive data search technique data-intensive application

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