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检索条件"主题词=Algorithm Design And Analysis"

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An Exploratory Study of Oral and Dental Health in Canada 16

An Exploratory Study of Oral and Dental Health in Canada

引用

16th IEEE International Conference on Machine Learning and Applications (ICMLA)

作者： Belcin, Andrei Floyd, Sean Asiri, Areej Viktor, Herna Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9781538614174

Healthcare practitioners agree that good oral health is a critical indicator of general health and wellness of a population. The lack of access to mandatory coverage for common issues such as cavities and non-surgical periodontal care often lead not only to medical problems, but also to loss of productivity. This trend is especially evident for older individuals and lower-income families. This paper discusses the results of our exploration of the annual Canadian Community Health Survey (CCHS), in order to further study the interplay between socio-economic factors and oral and dental health. To this end, we present the results when applying a number of machine learning algorithms to a CCHS data mart. Our results reaffirm that individuals' levels and sources of income are strong indicators of the number of dental visits per year. In addition, we found that younger adults and youth, who usually live in larger households, visit the dentist less frequently than all other survey respondents.

关键词： Clustering algorithms Dentistry algorithm design and analysis Machine learning algorithms Sociology Statistics Approximation algorithms

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Online Data Deduplication for In-Memory Big-Data Analytic Systems

Online Data Deduplication for In-Memory Big-Data Analytic Sy...

引用

IEEE International Conference on Communications (ICC)

作者： Sun, Yushi Zeng, Catherine Y. Chung, Jaeyoon Huang, Zhe Hong Kong Univ Sci & Technol Sai Kung Hong Kong Peoples R China Princeton Univ Princeton NJ 08544 USA

ISBN: (纸本)9781467389990

Given a set of files that show a certain degree of similarity, we consider a novel problem of performing data redundancy elimination across a set of distributed worker nodes in a shared-nothing in-memory big data analytic system. The redundancy elimination scheme is designed in a manner that is: (i) space-efficient: the total space needed to store the files is minimized and, (ii) access-isolation: data shuffling among server is also minimized. In this paper, we first show that finding an access-efficient and space optimal solution is an NP-Hard problem. Following this, we present the file partitioning algorithms that locate access-efficient solutions in an incremental manner with minimal algorithm time complexity (polynomial time). Our experimental verification on multiple data sets confirms that the proposed file partitioning solution is able to achieve compression ratio close to the optimal compression performance achieved by a centralized solution.

关键词： Servers Partitioning algorithms Distributed databases Data compression algorithm design and analysis Random access memory Big Data

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A Finite-Time Cutting Plane algorithm for Distributed Mixed Integer Linear Programming 56

A Finite-Time Cutting Plane Algorithm for Distributed Mixed ...

引用

56th Annual IEEE Conference on Decision and Control (CDC)

作者： Testa, Andrea Rucco, Alessandro Notarstefano, Giuseppe Univ Salento Dept Engn Lecce Italy

ISBN: (纸本)9781509028733

Many problems of interest for cyber-physical network systems can be formulated as Mixed Integer Linear Programs in which the constraints are distributed among the agents. In this paper we propose a distributed algorithm to solve this class of optimization problems in a peer-to-peer network with no coordinator and with limited computation and communication capabilities. In the proposed algorithm, at each communication round, agents solve locally a small LP, generate suitable cutting planes, namely intersection cuts and cost-based cuts, and communicate a fixed number of active constraints, i.e., a candidate optimal basis. We prove that, if the cost is integer, the algorithm converges to the lexicographically minimal optimal solution in a finite number of communication rounds. Finally, through numerical computations, we analyze the algorithm convergence as a function of the network size.

关键词： Distributed algorithms Optimization Convergence algorithm design and analysis Mixed integer linear programming Routing

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A Weighted Minimal Fully Adaptive Congestion Aware Routing algorithm for Network on Chip 1

A Weighted Minimal Fully Adaptive Congestion Aware Routing A...

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1st International Conference on Embedded and Distributed Systems (EDiS)

作者： Touati, Habib Chawki Boutekkouk, Fateh Larbi Ben Mhidi Univ Res Lab Comp Sci Complex Syst Oum El Bouaghi Algeria

ISBN: (纸本)9781538637258

One of the commonly known issues that contribute to performance degradation in on-chip communication is congestion, by stalling data packets and increasing average latency. The most efficient way to limit its effect is through the implementation of a reliable congestion aware routing scheme, that helps select the less congested routes for packet transmission. In this paper, a novel weighted minimal fully adaptive congestion aware routing algorithm for network on chip is presented. Instead of leveraging congestion-related information along each dimension separately, the proposed scheme investigates congestion along both dimensions at once, and offers a compromise between locally and globally aware routing in mesh-based NoC. Experimental results show that the proposed algorithm outperforms its peers with regard to average network latency and throughput.

关键词： Routing Adaptive systems algorithm design and analysis Throughput System recovery Reliability Measurement

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Research on improved box-particle filter in CPHD multi-target tracking

Research on improved box-particle filter in CPHD multi-targe...

引用

Chinese Automation Congress (CAC)

作者： Shan, Baoming Zhao, Leihong Zheng, Shiqing Qingdao Univ Sci & Technol Coll Automat & Elect Engineer Qingdao 266042 Peoples R China Qingdao Univ Sci & Technol Inst Comp & Chem Engn Qingdao 266042 Peoples R China

ISBN: (纸本)9781538635247

The Cardinalized probability hypothesis density(CPHD) filter based on box-particle(BP) technology can effectively enhance the tracking accuracy of numbers of the multi-target tracking. And it also solved the tracking problem with unknown number of targets and missing targets. Point the problems of lack of tracking accuracy and missing tracking targets in the BP-CPHD algorithm, this paper presents some detailed measures about improving tracking. Based on the particle filter theory, we found that in the process of resampling, the particle size distribution cannot be oplimized. So, in this paper, we replaced the traditional random sub sampling resampling method with the partition resampling method to improve the method of box-particle filter. Then we simulate and experiment the improved algorithm combined with CPHD filtering. The experimental results demonstrate that the improved method of tracking multi-target with the box-particle CPHD filter is more accurate than the original algorithm and the OSPA distance is smaller, so the effect of the improved tracking method is better.

关键词： Probability density function Target tracking Atmospheric measurements Particle measurements Probability algorithm design and analysis Density measurement

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Efficient Low Rank Tensor Ring Completion 16

Efficient Low Rank Tensor Ring Completion

引用

16th IEEE International Conference on Computer Vision (ICCV)

作者： Wang, Wenqi Aggarwal, Vaneet Aeron, Shuchin Purdue Univ W Lafayette IN 47907 USA Tufts Univ Medford MA 02155 USA

ISBN: (纸本)9781538610329

Using the matrix product state (MPS) representation of the recently proposed tensor ring (TR) decompositions, in this paper we propose a TR completion algorithm, which is an alternating minimization algorithm that alternates over the factors in the MPS representation. This development is motivated in part by the success of matrix completion algorithms that alternate over the (low-rank) factors. We propose a novel initialization method and analyze the computational complexity of the TR completion algorithm. The numerical comparison between the TR completion algorithm and the existing algorithms that employ a low rank tensor train (TT) approximation for data completion shows that our method outperforms the existing ones for a variety of real computer vision settings, and thus demonstrates the improved expressive power of tensor ring as compared to tensor train.

关键词： Tensile stress Approximation algorithms Matrix decomposition Structural rings Minimization algorithm design and analysis Computer vision

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A Fast algorithm for a Weighted Low Rank Approximation 15

A Fast Algorithm for a Weighted Low Rank Approximation

引用

15th IAPR International Conference on Machine Vision Applications (MVA)

作者： Dutta, Aritra Li, Xin Univ Cent Florida Dept Math Orlando FL 32816 USA

ISBN: (纸本)9784901122160

Matrix low rank approximation including the classical PCA and the robust PCA (RPCA) method have been applied to solve the background modeling problem in video analysis. Recently, it has been demonstrated that a special weighted low rank approximation of matrices can be made robust to the outliers similar to the l(1)-norm in RPCA method. In this work, we propose a new algorithm that can speed up the existing algorithm for solving the special weighted low rank approximation and demonstrate its use in background estimation problem.

关键词： Approximation algorithms Principal component analysis Estimation Analytical models algorithm design and analysis Robustness Matrix decomposition

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Research and Optimization for the Competition Mechanism of Distributed Multi-hop Cooperative Networks 2

Research and Optimization for the Competition Mechanism of D...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Jinlin Peng Xu Li Tianjiao Liu Li Kang Xin Tong Beijing Institute of Tracking and Telecommunications Technology Department of Electronic Engineering Tsinghua University School of Electronic and Information Engineering Beijing Jiaotong University

Distributed multi-hop cooperative network is a new network architecture that can solve the last mile bottleneck problem, with larger network coverage, higher reliability, higher utilization, self-conf

ISBN: (纸本)9781467389808

关键词： Voting Spread spectrum communication Scheduling Cooperative systems algorithm design and analysis Protocols Optimization

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A Novel Filtering-based F₀ Estimation algorithm with an Application to Voice Conversion 9

A Novel Filtering-based <i>F</i><sub>0</sub> Estimation Algo...

引用

9th Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA ASC)

作者： Shah, Nirmesh J. Bachhav, Pramod B. Patil, Hemant A. DA IICT Speech Res Lab Gandhinagar 382007 India EURECOM Biot France

ISBN: (纸本)9781538615423

We propose a novel F-0 estimation algorithm that initially estimates the glottal closure instants (GCIs) or pitch and then computes the corresponding fundamental frequency (F0). The proposed method eliminates the assumption that F-0 is constant over a segment of short duration (i.e., 20-30 ms). We use our previously proposed novel filtering-based approach for GCI estimation. As the proposed method directly operates on the entire speech signal, it does not require to set the window length and thus, it is free from the problem of spectral leakage. Measuring the effectiveness of proposed F-0 estimation algorithm w.r.t. three state-of-the-art methods, namely, Yet Another algorithm for Pitch tracking (YAAPT), Speech Transformation and Representation using Adaptive Interpolation of weiGHT spectrum (STRAIGHT) and Pitch Detection algorithm (PDA), is challenging in the absence of the ground truth. Since accurate estimation of F-0 will impact the quality of converted voice in Voice Conversion (VC) task. Hence, we measure the effectiveness F-0 estimation algorithm in the application of VC task. The quality and speaker similarity of the converted voice have been evaluated using two subjective measures, namely, Mean Opinion Scores (MOS) and ABX test, respectively.

关键词： Speech Estimation Handheld computers Cutoff frequency Delays algorithm design and analysis Speech processing

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An Improved Congestion Control algorithm Based On Social Awareness In Opportunistic Networks 3rd

An Improved Congestion Control Algorithm Based On Social Awa...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Bin Wang Xu Wang Yangxin Teng Feng Li Xuerang Guo Yutao Li Lu Liu State Grid Xinjiang Electric Power Research Institute State Grid Urumqi Power Company

In opportunistic networks,forwarding based protocols lead to a large amount of data flow to the highly connected nodes and unfairness of the nodes’ traffic load,finally,it makes the highly connected n

ISBN: (纸本)9781509053643;9781509053636

关键词： Routing Delays Aerospace electronics algorithm design and analysis Software Mobile computing Protocols

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