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Description: sade算法的matlab程序，在13年发布的标准测试函数上进行实验，改进的差分进化算法。-the matlab code of SADE, an improved differential evolution algorithm, which are tested on the benchmarks in 2013.
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Size: 1793024 |
Author: 师玉娇 |
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Description: 该方法实现了一种实时的由粗到细的超像素分割,是cvpr2015的一篇paper，该方法的效果非日常的好。指得大家学习和借鉴。-In this paper, we tackle the problem of unsupervised segmentation in the form of superpixels. Our main emphasis is
on speed and accuracy. We build on [31] to define the problem as a boundary and topology preserving Markov random
field. We propose a coarse to fine optimization technique
that speeds up inference in terms of the number of updates
by an order of magnitude. Our approach is shown to outperform [31] while employing a single iteration. We uate
and compare our approach to state-of-the-art superpixel algorithms on the BSD and KITTI benchmarks. Our approach
significantly outperforms the baselines in the segmentation
metrics and achieves the lowest error on the stereo task.
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Size: 1222656 |
Author: 张丽霞 |
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Description: benchmarks-css-task-runner: A simple benchmark comparing the build time of SCSS and Stylus between Grunt and Gulp
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Size: 10240 |
Author: Chihuo |
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Description: CEC2013_RealParameterOptimization竞赛用全套测试函数-Benchmarks for CEC2013_RealParameterOptimization
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Size: 1659904 |
Author: asfasf |
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Description: 测试虚拟机的基础cpu性能，使用spec cpu，里面的是写好的自动化测试脚本。通过跑基准测试程序，衡量cpu性能。-Based cpu performance test virtual machine using spec cpu, which is written automated test scripts. By running benchmarks to measure cpu performance.
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Size: 2027520 |
Author: peak |
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Description: LV6的使用VISA和SCPI命令基准的最大读取速度2700。(LV6 uses the maximum read speed of 2700 on the VISA and SCPI command benchmarks.)
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Size: 15360 |
Author: gyu98770
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Description: matlab code for benchmarck problem
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Size: 10240 |
Author: Aziziz
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Description: benchmarks matlab code
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Size: 4096 |
Author: mushahhid
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Description: 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles through a K-means
clustering approximation as well as vehicle tracking correspon-
dence between frames by correlating Kalman and particle filter
prediction updates to current observations through the solution
of the assignment problem. In addition, we conduct performance
and accuracy benchmarks that show about a 90 percent reduc-
tion in runtime at the expense of reducing the robustness of
the mixture model classification and about a 30 percent and 45
percent reduction in accumulated error of the Kalman filter and
particle filter respectively as compared to a system without any
prediction.)
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Size: 6215680 |
Author: O(∩_∩)O哈哈噢
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Description: AD7682 fpga程序 4通道使用 官方历程 使用内部基准(AD7682 FPGA program 4 channels using official procedures using internal benchmarks)
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Size: 2660352 |
Author: sweetboygreat
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Description: 常用的智能优化算法的benchmark函数，供优化算法论文性能比较实用。(Commonly used intelligent optimization algorithm benchmark function, for optimization algorithm paper performance is more practical.)
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Size: 11264 |
Author: hailprob
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Description: 多目标优化中经典的测试函数MATLAB代码(Classical test function matlab code in multi objective optimization)
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Size: 9216 |
Author: zhinengdong
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Description: cec2009动态优化问题的函数测试集。(The benchmarks for CEC2009 Special Session / Competition on Dynamic Optimization)
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Size: 44032 |
Author: lins00
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Description: This files are used for learning k
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Size: 57344 |
Author: fab
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Description: 华为、腾讯等标杆IT企业的任职资格体系。
对IT从业人员未来的职业发展规划是非常有用和重要的参考资料。(HUAWEI, Tencent and other benchmarks IT enterprises qualification system.
It is a very useful and important reference for the future career development planning of IT practitioners.)
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Size: 15294464 |
Author: AFK168 |
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Description: 实现基于协同过滤的电影推荐算法，并在真实的数据集上与其他基准算法做
对比，实现电影推荐。(The implementation of collaborative filtering based film recommendation algorithm is implemented on a real dataset with other benchmarks. Comparison, the implementation of the movie recommendation.)
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Size: 2048 |
Author: Zzm.70 |
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Description: icalab工具箱， 独立分量分析工具包，包括十余种主流ICA分析工具，上手可用。(icalab car
icalab\acrsobibpf.p
icalab\acsobiro.p
icalab\adv_opt_matrixH.p
icalab\adv_param.p
icalab\als_reg.p
icalab\amuse.p
icalab\amusepermuta.p
icalab\benchmarks\10halo.mat)
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Size: 24121344 |
Author: weiweiweiweiweiwei |
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Description: 总共56个测试的基准函数，用于智能算法测试所用。(Totally 56 benchmark functions for testing, they are used for intelligence algorithm testing.)
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Size: 50176 |
Author: H2T1002 |
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Description: CEC2017前几名的MATLAB算法实现
有EBOwithCMAR; jSO; LSHADE_SPACMA; LSHADE-cnEpSin
各种参数都可以调整，包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top few of cec217.
There are ebowithcmar; JSO; lshade_spacma; lshade cnepsin.
Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)
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Size: 25936896 |
Author: GHao |
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Description: Intelligent reflecting surface (IRS) is a promising
technology to enhance the coverage and performance of wireless
networks. We consider the application of IRS to non-orthogonal
multiple access (NOMA), where a base station transmits superposed signals to multiple users by the virtue of an IRS. The
performance of an IRS-assisted NOMA networks with imperfect
successive interference cancellation (ipSIC) and perfect successive
interference cancellation (pSIC) is investigated by invoking 1-
bit coding scheme. In particular, we derive new exact and
asymptotic expressions for both outage probability and ergodic
rate of the m-th user with ipSIC/pSIC. Based on analytical
results, the diversity order of the m-th user with pSIC is in
connection with the number of reflecting elements and channel
ordering. The high signal-to-noise radio (SNR) slope of ergodic
rate for the m-th user is obtained. The throughput and energy
efficiency of IRS-NOMA networks are discussed both in delaylimited and delay-tolerant transmission modes. Additionally, we
derive new exact expressions of outage probability and ergodic
rate for IRS-assisted orthogonal multiple access (IRS-OMA).
Numerical results are presented to substantiate our analyses and
demonstrate that: i) The outage behaviors of IRS-NOMA are
superior to that of IRS-OMA and relaying schemes; ii) The M-th
user has a larger ergodic rate than IRS-OMA and benchmarks.
However, the ergodic performance of the m-th user exceeds
relaying schemes in the low SNR regime; and iii) The IRS-assisted
NOMA networks have ability to achieve the enhanced energy
efficiency compared to conventional cooperative communications
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Size: 340469 |
Author: dipfr@yahoo.fr |
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