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- matlab课程编程【谷速软件】最小树 程序源码-Courses matlab software programming speed [Valley] most trees
VRML
- VRML程序员实用例库个 其中有用VRML语言编写的3d 模型 例如办公室的桌椅电脑 生活物品 例如圣诞树、跑步机 还有 星球大战中的各种星系得等等 一共将近1000中物品的3d模型源代码 -VRML programmer library a practical example 3d model in which useful VRML language For example, computer office chairs Life items such a
Particlesystemfalls
- 本文的主要贡献是以线元为基本造型单位，运用动力学原理模拟瀑布的运动轨迹[9]，结合层次包围盒技术和建立聚类树加速粒子与障碍物之间的碰撞检测，并采用逐渐淡化融合的方法绘制粒子，形成了具有真实感的实时瀑布飞溅的效果。-Contribution of this article is based on the line for basic modeling unit, use the dynamics simulation trajectories of waterfall [9], combined
SpeedTree51
- Speedtree SDK v.5.1 for real time renderer trees end gra-Speedtree SDK v.5.1 for real time renderer trees end grass
k-means
- 利用k-means方法对图像进行分类（matlab程序和c++程序），如对遥感图像分辨出河流、树木等，需要自己定义所处理图片位置，还有将分类的图片进行彩色区分-The use of k-means method for image classification (matlab program and c++ program), such as remote sensing images to distinguish rivers, trees, etc., need to define the
Kruskal-Algorithm
- Kruskal s algorithm is a minimum-spanning-tree algorithm where the algorithm finds an edge of the least possible weight that connects any two trees in the forest
diagona2-(1)
- le code d un algoghithme pour les spanning trees
pack2
- 1.粒子系统实现喷泉； 2.喷泉的水面，采用的是模仿水波的网格，当水滴滴到水面的时候，会在那个点产生一个很低的点，然后向四周的点扩散，形成一高一地的波形。 3.三维草丛和树木为3DS模型； 4.天空是采用天空包围盒，6个面包围在视角的外面，然后贴上图片（连续的内容的图片），看起来很像天空 改变天空明亮度，设置灯光的颜色，如果天空很暗，那么就改变值使变亮， 如果太亮，就使变暗，来回循环-1. The particle system fountain 2. The surf
picture
- OpenGL绘制自然景物，有太阳、树木、绿地、天空-OpenGL rendering natural scenery, sun, trees, green, sky, etc.
PAPER3
- Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference
CSP_Example
- 有MFC绘制不断变化的花树 一颗树的绘制(MFC draws a tree of changing trees)
vlfeat-0.9.20-bin.tar
- 常用工具包，特征提取方法，如HOG，sift等特征，分类方法如决策树，svm等(Commonly used toolkits, feature extraction methods, such as HOG, sift and other features, classification methods, such as decision trees, SVM, etc.)
VisualElements
- The properties of IsohyetoseNep depend greatly on the assumptions inherent in our methodology; in this section, we outline those assumptions. Any robust deployment of perfect models will clearly require that Boolean logic and Internet QoS are mostly
random forest
- 简单的随机树生成代码 可以直观的对随机树有一个直观的认识。(Simple random tree generation code can intuitively have an intuitive understanding of random trees.)
stacking
- kaggle digitrecognizer MNIST by stacking some machine learning method, such like GBM(Gradient Boosting Method), LR, Extra Randomized Trees, Random Forest,KNN,etc.用stacking的方法实现手写数字识别MNIST。(kaggle digitrecognizer MNIST by stacking some machine learnin
SpeedTreeCAD4.2
- Speedtree CAD 2.4 for trees modeling