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encrpytionsoftware
- Tasks Read the textbook about the details of Vigenére Cipher. Implement the algorithm by C or C++. Requirements You do this lab in a group of two students. Your program should have input and output as follows:
encrpytionsoftware
- Tasks Read the textbook about the details of Vigenére Cipher. Implement the algorithm by C or C++. Requirements You do this lab in a group of two students. Your program should have input and output as follows:
leibifangfa
- 对科研过程中遇到的新问题，本论文给出一种容易接受又十分实用的思想方法。对于参加各种理科竞赛的人员也有一定指导意义。-The scientific process encountered new problems, this paper gives a receptive way of thinking is very useful. For participation in various science competitions al
openmpi-1.2.4.tar
- MPI stands for the Message Passing Interface. Written by the MPI Forum (a large committee comprising of a cross-section between industry and research representatives), MPI is a standardized API typically used for paralle
Gabor(matlab_C_Cv)
- 这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab,
SNN4ImageFeaturIPCAT2007
- Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-an
bbb
- 人脸识别是近年来模式识别、图像处理、机器视 觉、神经网络以及认知科学等领域研究的热点课题之 一。作为生物特征识别的一个重要方面, 人脸识别在 档案管理系统、安全验证系统、信用卡验证、公安系统 的罪犯身份识别、银行和海关的监控、人机交互等领域 具有广阔的应用前景。与指纹识别、视网膜识别、虹膜 识别等技术相比, 人脸识别技术在数据采集方面手续 比较简单, 使用者更容易接受。-Face recognition in
nc_tanker
- Radial Basis Function Neural Controller for Tanker Ship Heading Regulation (using only 9 receptive field units)
understanding_and_applying_machine_vision_0824789
- Perhaps because no important information is represented in absolute brightness values in the visual environment, the visual system has confined its processing almost exclusively to differences – spatial and temporal
cvgabor
- 这里包含高质量的Gabor实现代码，基于OpenCV。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Gabor included here to achieve high-quality code, based on OpenCV. Gabor transform can be achieved in multiple scales, multiple
Non-classical-receptive-n
- 视觉注意的资料罗四维老师的资料PPt，非经典感受野抑制的代码用于轮廓提取，-Luo dimensional visual information for the attention of information teachers PPt, non-classical receptive field inhibition of the code for contour extraction,
shujuchuli
- 模拟单个图像对视觉感受野刺激，响应的提取及特征因子整合，多幅图像整合后的特征神经元刺激响应。源代码值得拥有-Simulate the visual receptive field single image stimulus response characteristic factor extraction and integration of multiple images feature integrated stimuli-resp
shaixuandaima
- 包括视觉感受野神经元响应提取代码，特征因子筛选及分类代码，数据处理代码-Including visual receptive fields of neurons responding to extract the code, feature selection and classification codes factor, data processing code, etc.
RF_CB
- spike-trigger average-spike-trigger average to calculated the receptive field of a neuron
ELM-LRF-master-original
- ELM_LRF源代码（基于局部感知域的极限学习机），论文 Local Receptive Fields Based Extreme Learning Machine 的对应代码-The source code of paper Local Receptive Fields Based Extreme Learning Machine .
sparsenet
- 就是Olshausen & Field 1996, Emergence of simple cell receptive field properties by learning a sparse code for natural images 这篇文章中的方法- THE way in 就是Olshausen & Field 1996, Emergence of simple cell receptive field propertie
2003IEEETIPGrigorescuC1
- Contour detection based on nonclassical receptive field inhibition
reu_paper_formatted
- Neurons in the visual cortex develop receptive fields that are sensitive to oriented features in the visual environment. However, exactly how these features develop in a self-organizing way, and how the brain learns to r
liv_pack_born2001
- Neurons at progressively higher levels of the visual in which the direction selectivity in MT neurons could system have progressively larger, more complicated arise. It could be generated de novo from nondirectional rece
RMICC
- 基于非经典感受野的图像颜色校正，程序能正常运行(Image color correction based on non classical receptive field)