搜索资源列表
cast_dct-a.zip
- dct 2d algorithm descr iption ,dct 2d algorithm descr iption
r214
- 多假设跟踪算法（MHT）是一种在数据关联发生冲突时，形成多种假设以延迟做决定的逻辑。与PDA合并多种假设的做法不同，MHT算法把多个假设继续传递，让后续的观测数据解决这种不确定性。举个例子，PDA对所有假设以对应的概率进行加权平均，然后再对航迹进行更新。因此，如果有10个假设，PDA会将这10个假设有效的合并只留下一个假设。而另一方面，MHT却是保持这10个假设的子集并延迟决定，这样可以利用之后的观测数据解决当前扫描帧的不确定性问题。 -Multiple Hypothesis Tracking
evolutionary-memetic-algorithm
- 关于进化memetic方面的一篇论文,对于理解memetic对进化算法的改进有帮助-a paper about evolutionary memetic computing
stereopairs
- 立体图像校准的matlab程序算法讲解。可以直接下载源码-A compact algorithm for rectification of stereo pairs
mcl
- 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This article presents a family of probabilistic lo
FastSLAM2.0
- 详细介绍fastslam2.0，是由Michael Montemerlo and Sebastian Thrun所著的IEEE论文。-Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to the simultaneous localization and mapping problem. This paper describes a modified versi
PrefixSpan-algorithm
- 序列模式挖掘是数据挖掘的一个重要分支，在序列事务及；有关信息处理中有着广泛的应用，如顾客购物习惯、web访问模式、科学实验过程分析、自然灾害预测、疾病治疗、药物检验以及{ sizej pos； DNA等。序列模式挖掘算法有AprioriAll、GsP、F’reeSpan、本文将设计与实现针对string数据类型的算法，来对序列模式挖掘有更深入的剖析。-Sequence pattern mining is an important branch of data mining, and in t
02
- 我上传了一本MATLAB遗传算法工具箱及应用，这是一本不错的书，对大家学习遗传算法和熟悉MATLAB工具有很大的帮助作用。-I uploaded a MATLAB genetic algorithm toolbox and its application, this is a good book, for everyone familiar with the study of genetic algorithm and MATLAB tools has a lot of help.
ImageEdgeDetectingMethodBasedonFractalFeature
- 运用分形理论描述图像纹理特征，通过分析不同纹理图像及图像边缘处的分形参数，得 到一种新的边缘检测分形特征，从而提出一种基于分形特征的图像边缘检测方法。自适应阈值的 引入，能够实现不同图像的边缘检测。该算法简单迅速，并具有良好的抗噪性能。-The use of fractal theory to describe the image texture features, through the analysis of different texture image and the ima
ALGORITHM
- A SOFT MODEL-ORDER SUBSPACE BASED SPEECH ENHANCEMENT ALGORITHM
geneticalgorithmforthegenealizedassigmentproblem.r
- 分析了排课的数学模型， 根据遗传算法本身特点设计了一种数据结构基因编码 ， 及几个涉及到的优化 目标评价函 数 ， 提出了利用遗传算法解决排课问题的方法， 并通过试验验证了该方法的有效性、 可靠性 ．-Timetable analysis of the mathematical model, according to the characteristics of genetic algorithm design of a data structure of genes encoding,
cuckoo-undergrad.pdf
- A detailed expanation about the new Cuckoo hashing algorithm.
differentialevolution_2009-04-05
- This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want
crdcsrvy
- 一篇很好的介绍用途很广的Cordic算法的书籍，推荐-A very good introduction to a wide use of the algorithm Cordic books, recommended
Image_matching
- 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem
A_DCT_based_embedded_image_coder
- 基于DCT的嵌入式图像编码，是DCT图像编码的经典文章，由EZW算法启发而发表的此文章。-DCT-based embedded image coding, DCT image coding is a classic article, inspired by the EZW algorithm published this article.
Anovelparallelquantumgeneticalgorithmforstochasti
- A novel parallel quantum genetic algorithm for stochastic job shop scheduling
xh
- 快速并行算法是经典算法中比较好的一种细化算法,但其存在固有缺陷,可能产生信息丢失。为了克服这个缺点,提出了重合算法,最后为了减少计算时间和冗余信息,提出了基于模板保留的算法。-Fast parallel algorithm for the classical algorithm is a good thinning algorithm, but its inherent defects, the potential loss of information. In order to overcom
Boosting-a-weak-learning-algorithm
- Freund在1995年发表的一篇很经典的文章Boosting a weak learning algorithm by majority，是关于弱学习算法的，全英文写的-Freund in 1995 published a classic article Boosting a weak learning algorithm by majority, is on the weak learning algorithm, written in English
Partitions-Artificial-Intelligence---A-Systems-Ap
- This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data