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Paper4
On-Line Digit Recognition using Off-Line Features
- 2009-02-09 02:56:52下载
- 积分:1
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c
说明: 精通matlab c语言编程,对于学习matlab的学习和c语言的学习都很有好处。可以帮助初学者掌握较好的编程技能(Proficient in matlab c language programming, learning for learning matlab and c language learning is very good. Can help beginners grasp the good programming skills)
- 2013-09-02 12:34:33下载
- 积分:1
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exam8_1
采用平面梁单元计算两铰抛物线拱的自由振动特性(Plane beam element calculation using the two hinged parabolic arch of the free vibration characteristics of)
- 2009-03-19 15:48:19下载
- 积分:1
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thebasicofmatlab
主要讲解了matlab在数学建模中的基础运用,对初学者较有意义。(the use of matlab in the CMCM.)
- 2009-07-19 20:38:17下载
- 积分:1
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circle
it produces a simple circle in matlab and can be used anywhere.
- 2012-05-24 14:51:27下载
- 积分:1
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Rosenbrockfunc
particle swarm optimization for rosenbrock function
- 2014-11-01 16:13:24下载
- 积分:1
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SupResolDemo
基于学习的超分辨率重构matlab代码,对于超分辨率重构的研究很有帮助(This is learning-based Super-Resolution Reconstruction matlab code. It is of very helpful for the super-resolution reconstruction )
- 2009-10-22 08:34:00下载
- 积分:1
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ReadFID
该程序是一个较简短的程序,主要读取磁共振fid信号,显示波形(The program is a relatively short procedure, the main reading magnetic resonance fid signal waveform display)
- 2013-11-06 08:53:02下载
- 积分:1
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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
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doublepenwithdobserver
observer for double pendulium in simulink
- 2011-08-19 09:16:55下载
- 积分:1