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本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。-The purpose of this paper is threefold: firstly, the local Successive
Mean Quantization Transform features are proposed for illumination
and sensor insensitive operation in object recognition. Secondly, a
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An Adaptive Bimodal Recognition Framework using Sparse Coding
for Face and Ear
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2篇基于稀疏表示具有鲁棒性人脸识别算法介绍，pdf格式-2 piece based on sparse representation robust face recognition algorithm is introduced, in PDF format
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稀疏人脸识别,来至论文Robust Face Recognition via Sparse Representation-Robust Face Recognition via Sparse Representation
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robust PCA的应用实例 很有代表性的方法-this paper proposed a approach of robust
face recognition by exploiting the sparse error component obtained by RPCA.
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Fisher线性判别分析和稀疏表示结合的人脸识别程序-Face recognition based on Fihser discriminant and Sparse representation
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Face recognition via Weighted Sparse Representation Face recognition via Weighted Sparse Representation
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用于脸部识别时，使用基于像素和区域的图像特征核的稀疏表示的识别算法。-When used in face recognition using image recognition algorithm based on feature pixel and regional nuclear sparse representation.
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2015数学建模B题，包括了人工智能很多知识，有谱聚类，多流形学习，人脸识别，以及稀疏子空间聚类。其中的英文参考文献很有价值。-2015 mathematical modeling of B problems, including the artificial intelligence of a lot of knowledge, a spectral clustering, manifold learning, face recognition, as well as sparse subsp
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单样本人脸识别中，将训练样本分块，以增加训练样本的数量，构成字典基，用稀疏表示的方法求解人脸识别问题-Single sample of face recognition, the training sample block, in order to increase the number of training samples, a dictionary base, with sparse representation method to solve the problem of face re
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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MATLAB编写的基于稀疏表达的人脸识别技术，内含一个简单便于理解的例子-MATLAB prepared based on face recognition technology sparse expression, there is a need to see! !
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Lei Zhang, Meng Yang, and Xiangchu Feng,
Sparse Representation or Collaborative Representation: Which Helps Face Recognition? in ICCV 2011 源代码-Lei Zhang, Meng Yang, and Xiangchu Feng,
Sparse Representation or Collaborative Representation: Whic
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稀疏矩阵，人脸识别，图像处理，指纹识别,图形识别-Sparse matrix face recognition image processing fingerprint identification
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图像处理，稀疏表示，字典去噪，ksvd，人脸识别-Image processing, sparse representation, dictionary denoising, KSVD, face recognition
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源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-Source code to achieve the use of sparse representation based on the face recognition algorithm. Using GPSR as a method for minimizing the L1 norm.
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这是关于稀疏字典学习用于人脸识别图像处理的文章，里面是对应的算法代码-This is an article about sparse dictionary learning for face recognition image processing, which is the corresponding algorithm code
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以稀疏子空间聚类以及低秩子空间聚类等基本谱聚类算法为基础，通过
运用核映射算法，融合与数据本身结构相关的局部切线空间函数以及主成分分析
算法建立了可以应对独立子空间聚类、非独立子空间聚类、非线性聚类、混合多
流体聚类问题以及多种含有大数据量的实际问题，包括处理运动分割、人脸识别、
工件识别等情况中的多种类型数据分类的聚类算法，并且引入 Map-Reduce 并行处
理方法优化了算法的计算效率(Based on the basic spectral clustering algorith
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使用稀疏特征算法实现人脸识别，带有例程，基本实现人脸识别(Using sparse feature algorithm to realize face recognition with routineBasic realization of face recognition)
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