The WLAN Traffic Visualizer is a platform INdependent Java program providing accurate measurement of traffic load and innovative visualization of frame sequences in IEEE 802.11 WLANs.
標簽： INdependent measurement Visualizer providing
上傳時間： 2014-01-14
上傳用戶：啊颯颯大師的
Extension packages to Bayes Blocks library, reported in "Nonlinear INdependent factor analysis by hierarchical models" (Valpola, Ö stman and Karhunen, 2003).
標簽： INdependent Extension Nonlinear packages
上傳時間： 2016-12-16
上傳用戶：天涯
Video object matching across multiple INdependent views using local descriptors and adaptive learning文章描述了多攝像機系統下的目標檢測與跟蹤，和自學習方法。很有參考價值。
標簽： INdependent descriptors matching adaptive
上傳時間： 2014-01-18
上傳用戶：chongcongying
n algorithm for domain INdependent linear text segmentation This the Windows version of the C99 algorithm that was presented in my NAACL00 paper. [Directories] bin contains executables, JAR file and test files classes compiled code as individual class files doc NAACL 00 paper describing the algorithm src source code for C
標簽： segmentation INdependent algorithm the
上傳時間： 2017-01-07
上傳用戶：ghostparker
Browser INdependent JavaScript SDK. ClassLoader to lazy load JavaScript classes, extensions to core JavaScript, Reflection API, Collection API, Unit Testing API, AJAX API, Logging API, and Custom/DOM Event API.
標簽： JavaScript INdependent ClassLoader extensions
上傳時間： 2017-02-19
上傳用戶：skhlm
this is a matlab code for blind source separation using INdependent component analysis
標簽： INdependent separation component analysis
上傳時間： 2017-04-01
上傳用戶：wys0120
It is the Speech recognition software. It is platform INdependent. To execute the source code,please refer the documentation part in the jar files
標簽： INdependent recognition the platform
上傳時間： 2014-01-21
上傳用戶：netwolf
Making Linear and convolutive mixtures from some INdependent sources.
標簽： convolutive INdependent mixtures sources
上傳時間： 2013-11-26
上傳用戶：yoleeson
Text-INdependent speaker recognition using graph matching.
標簽： Text-INdependent recognition matching speaker
上傳時間： 2014-01-20
上傳用戶：liglechongchong
The radially averaged power spectrum (RAPS) is the direction-INdependent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D
標簽： spectrum direction-INdependent i.e. the
上傳時間： 2013-12-17
上傳用戶：watch100
