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lin2
- LIN (Local Interconnect Network) is a concept for low cost automotive networks, which complements the existing portfolio of automotive multiplex networks. LIN will be the enabling factor for the implementation of a hierarchical vehicle network in o
super--resolution
- 超分辨率研究中的ppt资料，有稀疏表示，流形学习框架下的邻域嵌入，对超分辨率研究很有帮助-Ppt super-resolution study of the data, there is sparse, said manifold learning embedded within the framework of the neighborhood, useful for the study of super-resolution
ear2
- 国际会议上的关于人耳图像识别的论文：Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction -Multi-view Ear Recognition Based on B-Spline Pose Manifold Construction
SpectralSurfaceReconstructionfromNoisyPointClouds.
- We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each tetrahedron is inside or out
belkniyogi
- Belkin and Niyogi s Manifold Regularization paper (field is machine learning / manifold learning).
liuxinggaishu
- :流形学习是一种新的非监督学习方法,近年来引起越来越多机器学习和认知科学工作者的重视. 为了加深 对流形学习的认识和理解,该文由流形学习的拓扑学概念入手,追溯它的发展过程. 在明确流形学习的不同表示方 法后,针对几种主要的流形算法,分析它们各自的优势和不足,然后分别引用Isomap 和LL E 的应用示例. 结果表明, 流形学习较之于传统的线性降维方法,能够有效地发现非线性高维数据的本质维数,利于进行维数约简和数据分 析. 最后对流形学习未来的研究方向做出展望,以期进一步拓展流形
FULLTEXT01
- CBIR-Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is a
Content-based-Image-Retrieval
- Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an i
GOLPP
- GOLPP,来自南京航空航天大学,一种基于图优化的流形学习方法。-GOLPP, from nanjing university of aeronautics and astronautics, and a manifold learning method based on graph optimization.
image-pattern-recognition
- 文章拟采用机油和油菜的高光谱图像数据为具体对象，分别从光谱特性分析和图像特性分析两个角度，采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法，结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型 -Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral chara
Gesture-Recognition-A-Survey
- Abstract-Gesture recognition pertains to recognizing meaning- ful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human-computer interfa
nml
- 流形学习，用于非线性维数约简，作为图像识别或者其他方法的预处理方法-Manifold learning, for nonlinear dimensionality reduction, as the pretreatment methods of image recognition, or other methods
Manifold-learning-problems
- 中国科学院自动化研究所,杨剑教授讲解的关于流形学习问题的PPT，非常经典的学习资料。-Institute of Automation, Chinese Academy of Sciences, Professor Yang Jian explain the PPT on manifold learning problem, very classic learning materials.
MASSIVE-MIMO
- 本论文根据最小均方根误差准则（MMSE）,提出一种非正交设计导频的方法，这种方法在MASSIVE MIMO中非常有效。-In this letter, the error variance of the Minimal Mean-Square Error (MMSE) channel estimator is analyzed, and its analytic formula is given. Based on the analytic formula, a designing
A-Fast-Mesh-Growing-Algorithm-
- A Fast Mesh-Growing Algorithm for Manifold Surface Reconstruction
Manifold
- 大疆公司的妙算接收器技术文档，展示了如何调妙算接收装置以及如何设置-DJI MANIFOLD
773232art8
- neuro control new apporach in mechanical system with the manifold dynamical and integral part of error. manifold dynamical and integral-neuro control new apporach in mechanical system with the manifold dynamical and integral part of error. manif
hie_yq28
- 一种流形学习算法（很好用），包括广义互相关函数GCC时延估计，旋转机械二维全息谱计算的实用例程。- A fluid manifold learning algorithm (good use), Including the generalized cross-correlation function GCC time delay estimation, Rotating Machinery dimensional hologram of practical spectrum calculatio
yainuiqeng
- 一种流形学习算法（很好用），是本科毕设的题目，计算目标和海洋回波的功率谱密度。- A fluid manifold learning algorithm (good use), The title of the commercial is undergraduate course you Calculating a target and ocean echo power spectral density.
dq061
- 自写曲率计算函数 ,阐述了负荷预测的应用研究,一种流形学习算法（很好用）。- Since writing the curvature calculation function, It describes the application of load forecasting, A fluid manifold learning algorithm (good use).