Learning Multi-scale Block Local Binary Patterns for Face Recognition”
標(biāo)簽： Multi-scale Recognition Learning Patterns
上傳時(shí)間： 2016-02-11
上傳用戶：cursor
A new cable fault location method based on wavelet reconstruction is proposed. In this method the difference between the currents of faulty phase and sound phase under the high voltage pulse excitation is used as the measured signal and is decomposed in Multi-scale by wavelet transform, then reconstructed in single scale. Comparing with traditional fault location method by travelling wave, the presented method will not be interfered by the reflected wave from the branch joint of cables or from other positions where the impedances are not matched and not be influenced by fault types, otherwise, the reflected waves can be recognized even the faulty position is near to the measuring terminal, at the same time, the influence of the wave speed uncertainty can be reduced. The correctness of the proposed method is proved by simulation results.
標(biāo)簽： method reconstruction location proposed
上傳時(shí)間： 2016-02-04
上傳用戶：maizezhen
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a Multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
標(biāo)簽： Super-resolution Multi-scale Dictionary Single Image for
上傳時(shí)間： 2019-03-28
上傳用戶：fullout
multi-line Adjunct Communication Server
標(biāo)簽： Communication multi-line Adjunct Server
上傳時(shí)間： 2015-01-03
上傳用戶：784533221
多線程 ( Multi-Thread ) RS232 串行口通訊控件 ( 1.82 版，無源碼 Delphi 3.0/4.0/5.0 版適用 )，作者: Varian Software Services NL。
標(biāo)簽： Multi-Thread 1.82 232 RS
上傳時(shí)間： 2013-12-11
上傳用戶：2525775
SnackAmp is a powerful multi-platform audio music (mp3, ogg ,wav, streams ...) player and organizer for large music collections. Manage your entire collection, including ID3 tagging and auto-playlisting. Integrated web server for remote control/streaming
標(biāo)簽： multi-platform organizer SnackAmp powerful
上傳時(shí)間： 2013-12-22
上傳用戶：3到15
MULTI BORAD 控制
上傳時(shí)間： 2014-01-18
上傳用戶：gmh1314
source codes for point to multi-point Bluetooth transaction in Symbian OS. A good beginning to learn Socket programming in Symbian OS.
標(biāo)簽： multi-point transaction Bluetooth beginning
上傳時(shí)間： 2014-01-09
上傳用戶：qweqweqwe
BSD Sockets Programming from a Multi-Language Perspective
標(biāo)簽： Multi-Language Programming Perspective Sockets
上傳時(shí)間： 2015-02-13
上傳用戶：xiaohuanhuan
Multi session 多任務(wù)編程的例子
標(biāo)簽： session Multi 多任務(wù) 編程
上傳時(shí)間： 2015-02-19
上傳用戶：thesk123
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