搜索资源列表
HnSRTree-2.0beta5a
- SR-tree is an index structure for high-dimensional nearest neighbor queries，C++ sourcecode. SR-tree outperforms the R*-tree and the SS-tree especially for high-dimensional and non-uniform data which are likely to appear in the actual image / video a
srtree
- 基于内容的多媒体数据检索算法SR-Tree，类似于R*-tree和SS-tree的最近邻搜索 -content-based multimedia data retrieval algorithm SR-Tree, similar to the R *- tree and SS-tree search of the nearest neighbor
RssReader_src
- rss readerr ss reader-rss reader rss readerr ss r eader
Hacker Disassembler Engine
- Please excuse my english... It's so bad :) Hacker Disassembler Engine, or HDE, is small disassembler engine, which intend to code analyse. HDE get length of command, prefixes, ModR/M and SIB bytes, opcode, immediate, displacement, relative address
ss
- 向当前激活的记事本中，添写指定的按键 向当前激活的记事本中，添写指定的按键 向当前激活的记事本中，添写指定的按键 向当前激活的记事本中，添写指定的按键 -this is a key Press memo this is a key Press memo this is a key Press memo this is a key Press memo this is a key Press memo
ss
- 一个静态网站，采用了一些模板!对初学着来书看看还是很有用途的！-A static website!
ss
- 遗传算法解决背包问题，其中包括算法编码初始化，交叉，变异和惩罚策略，很好的解决了背包问题-Genetic algorithm to solve knapsack problem, including the coding algorithm initialization, crossover, mutation and punishment strategy, a good solution to the knapsack problem
Adaptive-Embedding-Dimension
- 嵌入维数自适应最小二乘支持向量机 状态时间序列预测方法 Condition Time Series Prediction Using Least Squares Support Vector Machine with Adaptive Embedding Dimension 针对航空发动机状态时间序列预测中嵌入维数难于有效选取的问题, 提出一种基于嵌入维数自适应 最小二乘支持向量机( L SSVM ) 的预测方法。该方法将嵌入维数作为影响状态时间序列预测精度的重要参
sslab
- tis notes is vry important.....and useful...these r ss lab manual....since its vry lengthy subject-tis notes is vry important.....and useful...these r ss lab manual....since its vry lengthy subject..
image-fusion.RAR
- 给出了一种新的基于小波多尺度分解的分层图像融合方法. 其基本思想是先对源图像 进行小波多尺度分解 其次, 按照融合规则, 采用基于区域特性量测的选择及加权算子去构造融 合图像对应的小波系数 最后, 通过逆小波变换重构融合图像. 该方法被成功地用于图像的融合 处理. 此外, 利用熵、交叉熵、互信息、均方根误差、峰值信噪比等参量, 对该融合方法的融合性能 进行了评价与分析. 实验结果表明, 该融合方法是十分有效的- A novel h ierarch ical image fusio
lunwen
- 新一代高性能无人机飞控系统的研究与设计 张小林 赵宇博 范力思-I n o r de r t o cau se t he U A V f lig ht co nt r o l sy st e m has t he f o r mida ble da t a- ha ndling ca pa cit y , t h e lo w po we r lo ss , t he st r o ng f le x ibilit y an d a hig he r int e g r at io n
lec5
- Li near r egr essi on, acti ve learning We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to use line a
1602液晶仿真
- 液晶显示程序，很简单的一个小程序，stm32的(t h i s i s a p r oc e ss of stm 3 2)
1
- 设计一个表示分数的类Fraction。这个类用两个int类型的变量分别表示分子和分母。 这个类的构造函数是： Fraction(int a, int b) 构造一个a/b的分数。 这个类要提供以下的功能： double toDouble(); 将分数转换为double Fraction plus(Fraction r); 将自己的分数和r的分数相加，产生一个新的Fraction的对象。Fraction multiply(Fraction r); 将自己的分数