Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app.

Saliency Detection with Multi-Scale Superpixels对应的源码

论文+代码 论文详细P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion.IEEE Trans. 1990.

清晰 彩色 When most people hear “Machine Learning,” they picture a robot: a dependable butler or a deadly Terminator depending on who you ask. But Machine Learning is not just a futuristic fantasy, it’s already here. In fact, it has been around for decades in some specialized applications, such as Optical Character Recognition (OCR). But the first ML application that really became mainstream, improving the lives of hundreds of millions of people, took over the world back in the 1990s: it was the spam filter. Not exactly a self-aware Skynet, but it does technically qualify as Machine Learning (it has actually learned so well that you seldom need to flag an email as spam anymore). It was followed by hundreds of ML applications that now quietly power hundreds of products and features that you use regularly, from better recommendations to voice search.

尺幅评估工具第一版、第二版合集,并付作者论文 Estimation_of_Scale_Parameters ESP1 ESP2

支持向量机在matlab中的测试数据集,已转换成matlab格式，可直接在matlab中使用，会自动生成数据集。

该代码是生成加权无标度网络边权演化模型的matlab源代码。希望对大家的学习研究有帮助。

It would be ludicrous to attempt to erect a 50 story oce building using the same materials and techniques a carpenter would use to build a single family home.

DSST跟踪器，速度快，精度高，最关键的地方是精确的实现了尺度估计。

直接放在libsvm\matlab目录下， Name Size Bytes Class Attributes Type 1x78 25536 struct heart_scale_inst 270x13 28080 double heart_scale_label 270x1 2160 double