mappingtoolbox

new face detection that can detect face in image

this file is sift code.

matlab实例分析一个Matlab实现的实分析程序(real analysis)

MATLAB的神经网络工具箱实用指南. 第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。(MATLAB neural network toolbox of practical guidance. The first chapter is a basic introduction to neural networks, and the second chapter, including the toolbox designated by the network structure and symbols related to the basic material and the establishment of neural network, some basic functions, such as new, init, adapt and train. Chapter III to back-propagation network as an example to explain the back-propagation network, the basic principle and application process.)

matlab编程实例，各种仿真，经典仿真实例(matlab programming examples, a variety of simulation, simulation of the classic examples)

Important PPT in compressed form and useful for researcher

matlab gui设计基础教程资料，详细，适合matlab初学者(Matlab based GUI design tutorials, detailed, suitable for beginners matlab)

描述可视化数字编码的matlab程序，在matlab上调试通过(Describe visualization digital encoding matlab program, matlab debugging through)

说明：  维纳滤波器的原理及实现,有详细的推导过程(Principle and realization of the Wiener filter, a detailed derivation)

A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into arousal, expectation, intensity, power and valence level of the observed subject as there has been virtually no research bearing on this topic. Preliminary experiments show that it is possible to automatically predict emotions in terms of these five dimensions (arousal, expectation, intensity, power and valence) from conversational head gestures. Dimensional and continuous emotion prediction from spontaneous head gestures has been integrated in the SEMAINE project [