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18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014

作者： Han, Shuo Zhuang, Fuzhen He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9783319066073

Given a budget and a network where different nodes have different costs to be selected, the budgeted influence maximization is to select seeds on budget so that the number of final influenced nodes can be maximized. In this paper, we propose three strategies to solve this problem. First, Billboard strategy chooses the most influential nodes as the seeds. Second, Handbill strategy chooses the most cost-effective nodes as the seeds. Finally, Combination strategy chooses the "best" seeds from two "better" seed sets obtained from the former two strategies. Experiments show that Billboard strategy and Handbill strategy can obtain good solution efficiently. Combination strategy is the best algorithm or matches the best algorithm in terms of both accuracy and efficiency, and it is more balanced than the state-of-the-art algorithms. © 2014 Springer International Publishing.

关键词： Budget control

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A sound and complete axiomatic system for modality φ ≡ 1φ ˄ 2φ 8

A sound and complete axiomatic system for modality φ ≡ ...

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8th IFIP International Conference on intelligent information processing, IIP 2014

作者： Deng, Shaobo Sun, Meiying Cao, Cungen Sui, Yuefei Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

An axiomatic system is presented in this paper, which has a modal operator such that φ ≡ 1 φ ˄ 2φ,where 1 and 2 are the modal operators of the language for the axiom system S5. The axiomatic system for is proved t... 详细信息

ISBN: (纸本)9783662449790

关键词： Formal logic

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The correspondence between propositional modal logic with axiom φ ↔ ◊φ and the propositional logic 8

The correspondence between propositional modal logic with ax...

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8th IFIP International Conference on intelligent information processing, IIP 2014

作者： Sun, Meiying Deng, Shaobo Sui, Yuefei Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9783662449790

The propositional modal logic is obtained by adding the necessity operator to the propositional logic. Each formula in the propositional logic is equivalent to a formula in the disjunctive normal form. In order to obtain the correspondence between the propositional modal logic and the propositional logic, we add the axiom φ ↔ ◊φ to K and get a new system K+. Each formula in such a logic is equivalent to a formula in the disjunctive normal form, where k (k ≥ 0) only occurs before an atomic formula p,and-only occurs before a pseudo-atomic formula of form kp. Maximally consistent sets of K+ have a property holding in the propositional logic: a set of pseudo-atom-complete formulas uniquely determines a maximally consistent set. When a pseudo-atomic formula kpi(k,i ≥ 0) is corresponding to a propositional variable qki, each formula in K+ then can be corresponding to a formula in the propositional logic P +. We can also get the correspondence of models between K+ and P+. Then we get correspondences of theorems and valid formulas between them. So, the soundness theorem and the completeness theorem of K+ follow directly from those of P +. © IFIP International Federation for information processing 2014.

关键词： Atoms

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A Cognitive Model for Multi-Agent Collab.ration

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International Journal of Intelligence Science 2014年第1期4卷 1-6页

作者： Zhongzhi Shi Jianhua Zhang Jinpeng Yue Xi Yang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

In multi-agent system, agents work together for solving complex tasks and reaching common goals. In this paper, we propose a cognitive model for multi-agent collab.ration. Based on the cognitive model, an agent architecture will also be presented. This agent has BDI, awareness and policy driven mechanism concurrently. These approaches are integrated in one agent that will make multi-agent collab.ration more practical in the real world.

关键词： Cognitive Model Multi-Agent Collab.ration Awareness ABGP Model Policy Driven Strategy

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Parallel optimization of geometric correction algorithm based on CPU-GPU hybrid architecture

Parallel optimization of geometric correction algorithm base...

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International Conference on Vehicle and Mechanical Engineering and information technology, VMEIT 2014

作者： Bai, Hong Tao Li, Yu Gang Chen, Li Ying Wang, Yan Ling Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing 100081 China Beijing Lab of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783038350606

Geometric correction is an essential processing procedure in remote sensing image processing. The algorithms used in geometric correction are time intensive and the size of remote sensing images is very large. Meanwhile, the data to be calculated is in huge size and is accumulating rapidly every day. Hence, the fast processing of geometric correction of remote sensing image becomes an urgent research problem. Through the rapid development of GPU, the current GPU has a great advantage in processing speed and memory bandwidth over CPU. It provides a new way for high performance computing. In this paper, we present three optimization solutions based on CPU-GPU hybrid architecture and the analysis of their performances. Experiments are also given and the results are consistent with the analysis. © (2014) Trans Tech Publications, Switzerland.

关键词： Graphics processing unit

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Collecting valuable information from fast text streams 8

Collecting valuable information from fast text streams

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8th IFIP International Conference on intelligent information processing, IIP 2014

作者： Qi, Baoyuan Ma, Gang Shi, Zhongzhi Wang, Wei Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing100190 China University of Chinese Academy of Sciences Beijing100190 China Beijing Lexo Technologies Co. Ltd Beijing100080 China

ISBN: (纸本)9783662449790

It has become a challenging work to collect valuable information from fast text streams. In this work, we propose a method which gains useful information effectively and efficiently. Firstly, we maintain an analyzer based on the Trie structure and the dynamic N-Gram tokenizer;secondly, unlike the traditional search engine principle, we consider the documents as a query by building the indexes for the whole query base. The experimental results show that it has the strong adaption ability, low latency and high quality support for the complex query combination compared with the conventional methods. © IFIP International Federation for information processing 2014.

关键词： Search engines

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Transfer learning with multiple sources via consensus regularized autoencoders

Transfer learning with multiple sources via consensus regula...

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European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014

作者： Zhuang, Fuzhen Cheng, Xiaohu Pan, Sinno Jialin Yu, Wenchao He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Institute for Infocomm Research Singapore Singapore

ISBN: (纸本)9783662448441

Knowledge transfer from multiple source domains to a target domain is crucial in transfer learning. Most existing methods are focused on learning weights for different domains based on the similarities between each source domain and the target domain or learning more precise classifiers from the source domain data jointly by maximizing their consensus of predictions on the target domain data. However, these methods only consider measuring similarities or building classifiers on the original data space, and fail to discover a more powerful feature representation of the data when transferring knowledge from multiple source domains to the target domain. In this paper, we propose a new framework for transfer learning with multiple source domains. Specifically, in the proposed framework, we adopt autoencoders to construct a feature mapping from an original instance to a hidden representation, and train multiple classifiers from the source domain data jointly by performing an entropy-based consensus regularizer on the predictions on the target domain. Based on the framework, a particular solution is proposed to learn the hidden representation and classifiers simultaneously. Experimental results on image and text real-world datasets demonstrate the effectiveness of our proposed method compared with state-of-the-art methods. © 2014 Springer-Verlag.

关键词： Learning systems

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3D Reconstruction by Kinect Sensor:A Brief Review

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Computer Aided Drafting,Design and Manufacturing 2014年第1期24卷 1-11页

作者： LI Shi-rui TAO Ke-lu WANG Si-yuan LI Hai-yang CAO Wei-guo LI Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences

While Kinect was originally designed as a motion sensing input device of the gaming console Microsoft Xbox 360 for gaming purposes, it＇s easy-to-use, low-cost, reliability, speed of the depth measurement and relatively high quality of depth measurement make it can be used for 3D reconstruction. It could make 3D scanning technology more accessible to everyday users and turn 3D reconstruction models into much widely used asset for many applications. In this paper, we focus on Kinect 3D reconstruction.

关键词： Kinect 3D reconstruction RGBD

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Report on the FG 2015 Video Person Recognition Evaluation

Report on the FG 2015 Video Person Recognition Evaluation

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International Conference on Automatic Face and Gesture Recognition

作者： J. Ross Beveridge Hao Zhang Bruce A. Draper Patrick J. Flynn Zhenhua Feng Patrik Huber Josef Kittler Zhiwu Huang Shaoxin Li Yan Li Meina Kan Ruiping Wang Shiguang Shan Xilin Chen Haoxiang Li Gang Hua Vitomir Štruc Janez Križaj Changxing Ding Dacheng Tao P. Jonathon Phillips Colorado State University Fort Collins CO USA University of Notre Dame Notre Dame IN USA University of Surrey United Kingdom University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology CAS Beijing China Stevens Institute of Technology Hoboken NJ USA University of Ljubljana Ljubljana Slovenia Univerza v Ljubljani Ljubljana SI University of Technology Sydney Sydney Australia National Institute of Standards and Technology Gaithersburg MD USA

This report presents results from the Video Person Recognition Evaluation held in conjunction with the 11th IEEE International Conference on Automatic Face and Gesture Recognition. Two experiments required algorithms to recognize people in videos from the Point-and-Shoot Face Recognition Challenge Problem (PaSC). The first consisted of videos from a tripod mounted high quality video camera. The second contained videos acquired from 5 different handheld video cameras. There were 1401 videos in each experiment of 265 subjects. The subjects, the scenes, and the actions carried out by the people are the same in both experiments. Five groups from around the world participated in the evaluation. The video handheld experiment was included in the International Joint Conference on Biometrics (IJCB) 2014 Handheld Video Face and Person Recognition Competition. The top verification rate from this evaluation is double that of the top performer in the IJCB competition. Analysis shows that the factor most effecting algorithm performance is the combination of location and action: where the video was acquired and what the person was doing.

关键词： Face Feature extraction Face recognition Cameras Training Computational modeling

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Addressing the energy hole problem based on heterogeneous clustering size for wireless sensor networks

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Journal of Computational information Systems 2014年第9期10卷 3973-3980页

作者： Song, Xiaoying Wen, Tao Guo, Quan Ma, Fengming Zhang, Dongqing Software Center Northeastern University Shenyang 110819 China Liaoning Key Lab. of Network Security and Computing Technology Dalian Neusoft Information Institute Dalian 116023 China School of Management Science Qufu Normal University Rizhao Shandong 276800 China

Clustering is one of the effective ways to solve energy hole problem for Wireless Sensor Network. So far, the approaches of heterogeneous cluster size mainly have concentrated on the design of unequal cluster protocol rather than the optimal cluster radius theoretically. Furthermore, the existing protocols of data gathering fall short in the extra energy dissipation of the rotating cluster head frequently. To overcome these limitations, in this paper, we first present the theoretical analysis to obtain the optimal number of cluster when the energy dissipation is balancing in the whole network. Then, the optimal cluster radius of different rings is obtained by theoretical analysis as well. In succession, a simple and effective strategy is proposed to further prolong the network lifetime on basis of the optimal cluster radius obtained theoretically. Finally, the simulation results demonstrate the performance advantages of our approach. © 2014 Binary information Press.

关键词： Wireless sensor networks

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