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!!Computing3DNon-rigid
- 在这篇文章中，对目前的鲁棒点扩展匹配框架，以提高其处理能力提高计算效率较大的点集。-In this paper we present extensions to the Robust Point Matching framework to improve its ability to handle larger point sets with greater computational effi ciency.
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- 基于虚拟内窥镜技术的三维立体化与计算三维动力学使得人类冠状动脉的可视化。-Visualization of Human Coronary Arteries with Quantification Results from 3-D and 4-D Computational Hemodynamics based upon Virtual Endoscopy
POJ-project-training
- POJ专题分类,按算法分类，包含基本算法、图算法、数据结构、简单搜索、动态规划、数学、数论、计算几何等-POJ thematic classification algorithm segments, including basic algorithms, graph algorithms, data structures, a simple search, dynamic programming, mathematics, number theory, computational geometr
jiaquankuaisurnghesuanfa
- 加权多分辨率图像融合的快速算法--基于定义的相关信号强度比, 提出了一种加权多分辨率图像融合的快速算法。同传统加 权多分辨率图像融合方法相比, 算法具有较低的计算复杂度。实验结果表明, 该算法同传统加权多分辨率图像融合方法一样, 能够产生良好的融合效果。-A fast algorithm of weighted multiresolution image fusion--Using the defined correlated signal intensity ratio, propose
OMP
- The problem of optimal approximation of members of a vector space by a linear combination of members of a large overcomplete library of vectors is of importance in many areas including image and video coding, image analysis, control theory, a
IElboundary
- 本书介绍了电磁场积分方程在新的非规则边界情况下的计算方法，该方法大大扩展及积分方程在计算电磁学领域的应用范围，也为奇异边界值问题提供了新的计算途径！-This book describes the calculation of electromagnetic field integral equation in the new situation of irregular borders, which greatly expanded and integral equation in compu
04678141
- Partial transmit sequences (PTS) is a class of distortless PAPR reduction techniques for OFDM systems. However, the high complexity of PTS remains a problem. In [5] the authors show that the PAPR reduction performance of PTS is not as good as
06216039
- Reduction of peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) system using the partial transmit sequence (PTS) approach. In PTS, the total search for the number of subblocks and the rotation factors must
machine--Learning-concept
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。 它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。-Machine Learning (Machine Learning, ML) is more than one field of