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Object-Recognition-via-Sparse-PCA 利用稀疏主分量分析实现目标识别中的特征提取
- 利用稀疏主分量分析实现目标识别中的特征提取,包括论文和仿真代码。-Informative Feature Selection for Object Recognition via Sparse PCA
STC12C5A60S2.pdf
- STC12C5A60S2/AD/PWM系列单片机是宏晶科技生产的单时钟/机器周期(1T)的单片机,是高速/低功耗/超强抗干扰的新一代8051单片机,指令代码完全兼容传统8051,但速度快8-12倍。内部集成MAX810专用复位电路,2路PWM,8路高速10位A/D转换(250K/S),针对电机控制,强干扰场合。 1.增强型8051 CPU,1T,单时钟/机器周期,指令代码完全兼容传统8051; 2.工作电压:STC12C5A60S2系列工作电压:5.5V-3.3V(5V单片机)STC12LE5A
Principal-component-analysis
- 主成分分析法实现图像压缩,主要是应用主成分分析来进行图像信息的压缩处理和重构。- Principal component analysis (pca) to realize image compression, is mainly used principal component analysis for image compression processing, and refactoring.
AN007_CN
- AN007_用PCA实现16位PWM(中文)-AN007_ with PCA realized 16 PWM
vempa
- 结合PCA的尺度不变特征变换(SIFT)算法,实现了对10个数字音的识别程序LZ复杂度反映的是一个时间序列中。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Realization of 10 digital audio recognition program LZ complexity is reflected in a time sequence.
uihnc
- Matlab实现界面友好,借鉴了主成分分析算法(PCA),图像的光流法计算的matlab程序。- Matlab to achieve user-friendly, It draws on principal component analysis algorithm (PCA), Image optical flow calculation matlab program.
sisws
- 均值便宜跟踪的示例,是学习PCA特征提取的很好的学习资料,实现六自由度运动学逆解算法。- Example tracking mean cheap, Is a good learning materials to learn PCA feature extraction, Six degrees of freedom to achieve inverse kinematics algorithm.