-
MATLAB_SIMULINK
MATLAB_SIMULINK MATLAB_SIMULINK 编程方法,优秀的入门资料。(MATLAB_SIMULINK MATLAB_SIMULINK programming methods, excellent introductory information.)
- 2013-07-25 12:58:57下载
- 积分:1
-
Fisher
fisher分类器matlab代码,只具有二分类特性,可运行(fisher classifier matlab code, has only two classification features, you can run)
- 2013-07-16 15:40:04下载
- 积分:1
-
Russian_SquareV2.0
俄罗斯方块matlab GUI平台的例程,自带程序说明(Tetris routines matlab GUI platform, comes with the program description)
- 2013-12-18 19:53:46下载
- 积分:1
-
SPWM-PO
simulation of space vector modoulation using power simluink
- 2013-05-12 04:42:18下载
- 积分:1
-
Polar-code-application-in-ofdm
极化码研究论文 仿真 分析 编码 解码 原理介绍 背景介绍(Polarization code simulation analysis research paper describes the principles codec Background)
- 2015-04-16 10:32:23下载
- 积分:1
-
MATLABminlindaquan
希望大家共同探讨问题,共同进步,祝大家学业有成!(U.S. to discuss the issue of hope and common progress, I wish everyone with achieving!)
- 2008-05-21 17:13:21下载
- 积分:1
-
danshenjingyuan
说明: 用于单神经元控制的pid整定,还加带其他两种普通PID整定的对比试验(PID tuning for single neuron control)
- 2020-06-17 21:49:37下载
- 积分:1
-
rbf_tanker
Attentional strategies for dynamically focusing on multiple predators/prey
- 2010-01-12 02:45:17下载
- 积分:1
-
SolveSpaRSA
in this program, the sparse representation of data was calculated.
- 2012-05-27 18:10:30下载
- 积分:1
-
gender
Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased
face retrieval by constructing semantic codewords for efficient
large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.
- 2013-11-20 00:42:07下载
- 积分:1