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量化深度卷积网络的有效推理：白皮书
... quantizer
2.3 Stochastic quantizer
2.4 Modeling simulated quantization in the backward pass
2.5 Determining Quantizer parameters
2 ... weights and activations
3.1.3 Experiments
3.2 Quantization Aware Training
3.2.1 Operation Transformations for Quantization
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数字图像处理（Digital Image Processing_3E_Gonzalez）
... Arrays 50
2.3.4 A Simple Image Formation Model 50
2.4 Image Sampling and Quantization 52
2.4.1 Basic Concepts in Sampling and Quantization 52
2.4.2 Representing Digital Images 55
2.4.3 Spatial and Intensity Reso
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jpeg图像处理工具箱
... for directly accessing the
contents of JPEG files from Matlab, including the Discrete Cosine
Transform (DCT) coefficients, quantization tables, Huffman coding
tables, color space information, and comment markers. It is assumed
that the user of this ...
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神经网络测试
学习矢量量化(Learning Vector Quantization)，简称LVQ，于1988年由Kohonen提出的一类用于模式分类的有监督学习算法，是一种结构简单、功能强大的有监督式神经网络分类方法。
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CLIP-Q CVPR2018 code
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization，CVPR2018 code
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Deep learing 论文合集，一条小白到发论文的必须道路！
... :
**[25]** Han, Song, Huizi Mao, and William J. Dally. "**Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding**." CoRR, abs/1510.00149 2 (2015). [[pdf]](https://pdfs.semanticscholar.org/5b6c/ ...
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基于FFTBAQ的SAR原始数据压缩新算法
针对合成孔径雷达( synthetic aperture radar , SAR) 原始数据频域压缩运算中基于快速傅里叶变换
的分块自适应量化(fast Fourier t ransform2based block adaptive quantization , FFT2BAQ) 算法实现复杂的问题,分
析了SAR 原始数据二维傅里叶变换后数据的能量分布情况。从香农率失真理论出发,利用信源 ...
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基于VQ方法的人工智能模糊系统
非常经典的机器学习的好资料一个推荐思路VQ。Specifically, it is known that learning methods using vector quantization (VQ) and steepest descent method (SDM) are superior to other methods. In their learning methods, VQ is used only in determination of the initial parameters for ...
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