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模式识别的一些预处理
- 模式识别的一些预处理，包括：图像压缩的例子：行程编码算法RCL， 手写体数据变换成像素位图的算法。-some pretreatment pattern recognition, including : Image Compression examples : RCL itinerary coding algorithm, handwritten data transformation into pixel bitmap algorithm.
Improved-non-negative-sparse-coding-algorithm
- 改进的非负稀疏编码图像基学习算法Improved non-negative sparse coding algorithm for image-based Learning-Improved non-negative sparse coding algorithm for image-based Learning
DIPUM2E_Chapter02_Pgs_13-50
- enjoy the ezw coding basically used for image compression... after this gofor spiht image comoression
meanfilter
- this the example of reading the image for the beginner. besides it is example of practice how to read the image and compute its statistical value.then its the coding for filtering of mean filter-this is the example of reading the image for the beginn
Sparse-Autoencoder
- 稀疏自编码是构成堆栈式自编码的基础，通过稀疏自编码可以提取图像的边缘特征。-Sparse coding constitute the basis of the stack self-encoded by sparse coding can be extracted the edge feature of the image.
Locality-constrained Linear Coding for Image Classification
- Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC utilizes the locality constraints to project each descr iptor into its local-coordinate system, and the projected coordinates are integrated by max pooling to