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Matlab---Practical-matlab---Applications-for-Engi
- Practical MATLAB® Applications for Engineers introduces the reader to the concepts of MATLAB® tools used in the solution of advanced engineering course work followed by engineering and technology students. Every chapter of this book discuss
paper4
- Exploring the Power of Kernel in Feature Representation
segmenttool
- Tracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techniques reported in the literature use background subtraction tech
x86-Disassembly
- x86 Disassembly Exploring the relationship between C, x86 Assembly, and Machine Code
Deep-Learning-in-Big-Data-Analytics
- It is a beginner must read for exploring the vast area of deep learning. This helps in general understanding of deep learning and its approaches along with applications.
web-rank
- Abstract—Service-oriented computing and Web services are becoming more and more popular, enabling organizations to use the Web as a market for selling their own Web services and consuming existing Web services others. Nevertheless, with the i
59912
- The following Matlab project contains the source code and Matlab examples used for optimization of a predicted response value of a fitted quadratic equation. . This m-file is a canonical analysis for exploring and exploiting a fitted quadratic respon
WSN
- There were downloaded documents wich can be very useful for those who exploring Wireless Sensor Networks. There given all the information and scr ipts to creat or build the model you need.
ShirazHusainVSRD
- REVIEW:LOW POWER VLSI DESIGN TECHNIQUES EXPLORING SLEEP TRANSISTOR, FORCED STACK AND SLEEPY STACK
2808-14159-1-PB
- In this paper, we systematically explore feature definition and selection strategies for sentiment polarity classification. We begin by exploring basic questions, such as whether to use stemming, term frequency versus binary weighting, negation-enr
Reinforcement Learning：An Introduction
- 在这本书中，我们探索了一种从交互中学习的计算方法。我们不直接对人或动物如何学习进行理论分析，而是探索理想化的学习情境，评估各种学习方法的效率。也就是说，我们采用人工智能研究人员或工程师的角度。我们探索去设计在这些方面上格外有效率的机器，他能够解决科学或经济学领域的问题。通过数据分析和计算实验来评估这些设计。我们将这种方法称为强化学习，更侧重于目标导向的交互学习，而不是其他方法。(In this book, we explored a computational method of learnin
Python极客项目编程
- 《Python极客项目编程》里面讲解了一些很好玩的项目。 利用参数方程和turtle模块生成万花尺图案； ● 通过模拟频率泛音在计算机上创作音乐； ● 将图形图像转换为ASCII文本图形； ● 编写一个三维立体画程序，生成隐藏在随机图案下的3D图像； ● 通过探索粒子系统、透明度和广告牌技术，利用OpenGL着色器制作逼真的动画； ● 利用来自CT和MRI扫描的数据实现3D可视化； ● 将计算机连接到Arduino编程，创建响应音乐的激光秀。(Python Geek Program