-
lifting_db97.m__html
wireless sensor networks protocol
- 2012-08-13 09:01:20下载
- 积分：1
-
classifbayes
classification bayse
- 2015-03-09 19:59:05下载
- 积分：1
-
DisparitymapSSDSADNCCaRMS-Error
Disparity Map computation by Local correspondence search SAD, SSD and NCC.
RMS error between the groundtruth and computed disparity map.
- 2015-03-09 15:13:47下载
- 积分：1
-
AS
说明： solve a joint antenna selection and analog beamformer problem(jointly design the antenna selection and analog beamformer with low-resolution phase shifters in mmwave MIMO systems)
- 2018-11-11 09:19:19下载
- 积分：1
-
dxxzh
说明： 大小写转换的MATLAB程序。希望对大家有帮助。(Sensitive procedures for the conversion of MATLAB. We want to help.)
- 2009-08-04 21:51:42下载
- 积分：1
-
zuiyou1
说明： matlab最优控制的作业 请各位高手多多指教(Matlab optimal control operations please master exhibitions)
- 2006-03-13 12:48:56下载
- 积分：1
-
mfiles
北京航空航天大学matlab6.5版本教材的m文件集合(M file collection of the materials of Beijing University of Aeronautics and Astronautics matlab6.5 version)
- 2012-10-03 23:57:28下载
- 积分：1
-
Smart_Antenna_System
Smart Antenna System souce code (Smart Antenna System souce code)
- 2007-11-12 16:43:36下载
- 积分：1
-
marcv
说明： 利用ode45求解微分方程组。利用马尔可夫状态转移，求解系统部件随时间的可靠性函数。(Use matlab to solve system of differential equations.)
- 2021-04-15 20:58:54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
