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数字图像处理，K-SVD字典学习方法，信号的稀疏与冗余表示理论，图像压缩，图像去噪-Digital image processing, K-SVD dictionary learning methods, sparse and redundant signal representation theory, image compression, image denoising
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Contourlet Image Coding-Image Coding via Sparse Contourlet Representation
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稀疏矩阵是指那些多数元素为零的矩阵。利用“稀疏”特点进行存储和计算可以大大节省存储空间，提高计算效率。实现一个能进行稀疏矩阵基本加减运算的运算器。
【基本要求】
稀疏矩阵的表示采用三元组，而运算结果的矩阵则以通常的阵列形式和三元组形式列出。
-Sparse matrix refers to those of most elements zero matrix. " Sparse" characteristics of the storage and computin
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编写一段程序,使其可以满足一元稀疏多项式的表示以及加法运算功能.
其要求如下:
(a) 多项式以指数递增的顺序输入。
(b) 设计的数据结构应有利于表示任意一元稀疏多项式。
(c) 输出的原始多项式及运算结果。
-Write a program so that it meets one yuan sparse polynomial representation and an adder function whose requirements are as follows: (
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稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式，以及各表示形式下的稀疏矩阵乘法（稀疏大矩阵*矢量）的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况，ELLPACK表示最佳，其次是HYB（ELL+COO）。
CUDA™ 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序-Sparse matri
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based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the mini
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based classification (SRC) has been widely used for face
recognition (FR). SRC first codes a testing sample as a
sparse linear combination of all the training samples, and
then classifies the testing sample by evaluating which class
leads to
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用于信号稀疏表示中冗余字典训练的KSVD算法，采用matlab与c的混合编程，具有更高的计算效率-KSVD algorithm for sparse signal representation in a redundant dictionary training
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用于图像表示的图约束的稀疏表示论文中涉及的主要函数-Figure constrained sparse image representation for the representation of the main functions involved in paper
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Micheal Elad 的书“Sparse and Redudant Representation ”中14章应用篇的全部代码。-Code from the book "Sparse and Redudant Representation" of Micheal Elad, Chapter 14.
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矩阵稀疏表示,需要的自己下载，原理我还不是太清楚，在慢慢学习中-Sparse matrix representation
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a novel method for solving Canonical Cor-
relation Analysis (CCA) in a sparse convex framework using a least
squares approach. The presented method focuses on the scenario when
one is interested in (or limited to) a primal representation for th
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稀疏矩阵表示，是现代研究图像并进行各种变换的基础-Sparse matrix representation is the basis of modern research and various changes of image
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Optimally sparse multidimensional representation using shearlets
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c++串、数组和广义表的类模板，以及对稀疏矩阵的三元组表示和十字链表表示-c++ strings, arrays, and class template generalized form, as well as sparse matrix representation and triples list represents a cross
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Compressive sensing (CS) is a new approach to simultaneous sensing and compression
that enables a potentially large reduction in the sampling and computation
costs for acquisition of signals having a sparse or compressible representation in some
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稀疏表示 稀疏表示 稀疏表示 稀疏表示 -sparse representationsparse representationsparse representationsparse representationsparse representationsparse representation
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用于混响背景语音分离的结构稀疏模型(Strutured sparisty model)方法-To further tackle the ambiguity
of the reflection ratios, we propose a novel formulation of the
reverberation model and estimate the absorption coefficients
through a convex optimization exploiting
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张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature
Extraction and Applications-
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (elec
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gabor原子库的产生，应用与核磁共振信号的稀疏表示和重建。-Generating a sparse, the application of nuclear magnetic resonance signal representation library gabor atom and reconstruction.
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