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lssvm_demo.m
LS-SVM Leave-One-Out Cross-Validation Demo
G. C. Cawley, "Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs", Proceedings of the International Joint Conference on Neural Networks (IJCNN-2006), pages 1661-1668, Vancouver, BC, Canada, July 16-21 2006. (pdf)theoval.cmp.uea.ac.uk/~gcc/matlab/
- 2013-10-28 11:32:31下载
- 积分：1
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64sift
计算64维的SIFT特征 可以直接运行 haoyong(Calculate the 64 dimensional SIFT feature can be run directly
)
- 2013-05-10 18:51:19下载
- 积分：1
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Matlab-EM
MATLAB下的很好用的EM算法，简单的接口和图形显示。(MATLAB under the EM algorithm used in a good, simple interface and graphical display.)
- 2008-12-13 06:11:48下载
- 积分：1
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Adaptive__Equalizar
自适应均衡器在matlab中的仿真程序，通过对均衡器的仿真，可以更清楚均衡器在实际中的作用，推荐(Adaptive equalizer in matlab simulation program more clearly through the simulation of the equalizer, the equalizer in the actual recommended)
- 2012-08-13 17:02:00下载
- 积分：1
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PSO
粒子群算法MATLAB程序,求多元单峰函数好用。(Particle swarm algorithm MATLAB program,)
- 2013-05-09 21:02:48下载
- 积分：1
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dijkstra
Dijkstra s algorithm, conceived by Dutch computer scientist Edsger Dijkstra in 1959, is a graph search algorithm that solves the single-source shortest path
- 2009-10-28 17:30:16下载
- 积分：1
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matlab-11212
matlab code remote sensing
- 2012-04-14 18:41:31下载
- 积分：1
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maximalCliques
求最大团的算法，Bron-Kerbosch 算法计算图的最大全连通分量(团clique)，matlab实现(Seeking maximum clique algorithm, Bron-Kerbosch algorithm to calculate the maximum fully connected graph component (group clique), matlab achieve)
- 2013-08-20 11:54:33下载
- 积分：1
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ICM_Algorithm
ICM_Algorithm Markov Random Field
- 2011-12-27 05:45:22下载
- 积分：1
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KNN-complexity-reduced-method
基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static
fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength
values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However,
the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data
calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees
(LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can
take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations
and reference points. We show that this technique can effectively accommodat)
- 2011-02-11 22:16:05下载
- 积分：1
