Content Based Audio Classification using Support Vector Machine
標簽： Classification Content Support Machine
上傳時間： 2015-04-21
上傳用戶：源弋弋
Java 2 圖形設計卷Ⅰ：AWT Graphic Java 1.2 Mastering the JFC Volume Ⅰ:AWT [美]David M.Geary 著 馬欣民等譯 機械工業出版社
標簽： Java AWT Mastering Graphic
上傳時間： 2015-04-26
上傳用戶：陽光少年2016
MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab實現
標簽： MODEL-BASED ALGORITHM MIXTURES FINITE
上傳時間： 2013-12-18
上傳用戶：徐孺
This is an example how one could hide a process on Windows based operation systems from task viewers like ProcDump (G-RoM, Lorian & Stone) or ProcessExplorer (SysInternals). It could e.g. be used as some kind of dump protection. The way to get this done is very different on NT and 9x machines.
標簽： operation Windows example process
上傳時間： 2013-12-17
上傳用戶：wang0123456789
This a simple compressor based on aplib, yoda s Kernel code, and my own stuffing around. It only has one function with MANY limitations at the moment, but it is desinged for demo purposes only so it don t matter.
標簽： compressor stuffing Kernel simple
上傳時間： 2013-12-24
上傳用戶：13215175592
aPLib is a 32-bit compression library based on the compression algorithm used in aPACK (my executable packer). aPLib is an easy-to-use alternative to many of the heavy-weight compression libraries available.
標簽： compression algorithm executa library
上傳時間： 2013-11-30
上傳用戶：一諾88
classical examples of database development based on Visual FoxPro 7.0
標簽： development classical examples database
上傳時間： 2014-01-03
上傳用戶：zhanditian
An open-source WWW discussion Forum based on JSP/Servlets which uses JDBC to store and retrieve messages from a database
標簽： open-source discussion Servlets retrieve
上傳時間： 2015-05-13
上傳用戶：coeus
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
標簽： least-squares unconstrained Statisti Applied
上傳時間： 2015-05-14
上傳用戶：aig85
SVM example. based on SVM realize.
上傳時間： 2014-12-07
上傳用戶：aix008
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