搜索资源列表
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码,文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
IEEE_ExtremePrograming_2010_D
- This question was asked in IEEE Extreme Programming 2010. Its a graph problem, that the nodes with minimum cost should be followed.
SIFTflow
- 整个场景和应用的密集通讯。 IEEE模式分析与机器智能(TPAMI),2010。 如果您使用您的研究,我们的代码,请举出我们的报纸。另外,请注意到有包ECCV版本相比略有变化。已获得密集的SIFT特征mexed。 请运行demo.h第一。如果出现错误,请去“mexDenseSIFT”和的“mexDiscreteFlow”子文件夹,并按照readme.txt文件的说明(是的,有readme.txt文件中的每个文件夹)编译cpp文件。-Dense Correspondenc
REDUCTION-FOR-MIL--
- 为MIL,即multiple instance learning,多实例学习,来进行特征降维,大大减少计算量。2010年,IEEE收录的。-MIL, the multiple the instance learning and multi-instance learning for feature dimensionality reduction, greatly reduce the amount of calculation. In 2010, the IEEE included.
DRLSE_v0
- is Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Tr
10Dual-tree-wavelets-
- 10 Dual-tree本地不同和各向异性分形维数估计的小波。IEEE 2010 _nelson_icip图像处理国际会议-10 Dual-tree wavelets for locally varying and anisotropic fractal dimension estimation . IEEE International Conference on Image Processing 2010_nelson_icip
Distance-Regularized-Level-Set
- 水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型,是下面一篇带距离正则化的水平集方程论文的应用: C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
Depth-image-based-rendering
- This program implements the rendering framework that is used in the paper D. De Silva, W. Fernando, and H. Kodikaraarachchi, “A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, S
BSR_source
- Contour Detection and Hierarchical Image Segmentation (UC Berkeley) MATLAB/C++混编 Arbela?ez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine
Schmidt-Segmentation (HMM heart sound)-Code-master
- Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”. This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s
