三本經典UML 2.0書籍, OReilly.Learning.UML.2.0.Apr.2006.chm OReilly.UML.2.0.in.a.Nutshell.Jun.2005.chm UML Distilled_3Ed.chm
上傳時間: 2015-08-19
上傳用戶:dapangxie
* * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS AND ANY EXPRESS * OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE * GOODS OR SERVICES LOSS OF USE, DATA, OR PROFITS OR BUSINESS * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH D
標簽: WARRANTIES SOFTWARE PROVIDED EXPRESS
上傳時間: 2013-12-20
上傳用戶:sxdtlqqjl
by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See the catalog page for this book.) the text of Learning Perl, 3rd Edition. Table of Contents Copyright Page Preface Chapter 1: Introduction Chapter 2: Scalar Data Chapter 3: Lists and Arrays Chapter 4: Subroutines Chapter 5: Hashes Chapter 6: I/O Basics Chapter 7: Concepts of Regular Expressions Chapter 8: More About Regular Expressions Chapter 9: Using Regular Expressions Chapter 10: More Control Structures Chapter 11: Filehandles and File Tests Chapter 12: Directory Operations Chapter 13: Manipulating Files and Directories Chapter 14: Process Management Chapter 15: Strings and Sorting Chapter 16: Simple Databases Chapter 17: Some Advanced Perl Techniques Appendix A: Exercise Answers Appendix B: Beyond the Llama Index Colophon
標簽: L. published Schwartz Edition
上傳時間: 2014-11-29
上傳用戶:kr770906
by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See the catalog page for this book.) Learning Perl, 3rd Edition. Table of Contents Copyright Page Preface Chapter 1: Introduction Chapter 2: Scalar Data Chapter 3: Lists and Arrays Chapter 4: Subroutines Chapter 5: Hashes Chapter 6: I/O Basics Chapter 7: Concepts of Regular Expressions Chapter 8: More About Regular Expressions Chapter 9: Using Regular Expressions Chapter 10: More Control Structures Chapter 11: Filehandles and File Tests Chapter 12: Directory Operations Chapter 13: Manipulating Files and Directories Chapter 14: Process Management Chapter 15: Strings and Sorting Chapter 16: Simple Databases Chapter 17: Some Advanced Perl Techniques Appendix A: Exercise Answers Appendix B: Beyond the Llama Index Colophon
標簽: L. published Schwartz Edition
上傳時間: 2015-09-03
上傳用戶:lifangyuan12
一個由Mike Gashler完成的機器學習方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
標簽: classifier includes bayesian decision
上傳時間: 2015-09-11
上傳用戶:gaome
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
標簽: Classifiers Implemented Bayesian applying
上傳時間: 2015-09-11
上傳用戶:ommshaggar
Linux driver for FujiFilm FinePix digital cameras in PC-CAM (i.e. webcam) mode driver/ Contains the driver sources. Compile with "make". Then as root, install with "make install". Type "modprobe finepix" to load the module. userspace/ Type "make" to compile. fpix: test program, independant of the driver. Uses libusb to directly access the camera and capture a frame, saved under frame.jpg. Will not work if the driver is loaded. fpixtest: test program. Uses V4L2 to capture an image. fpix-stress-v4l2: never ending (in theory) stress test derived from fpixtest.
標簽: driver i.e. FujiFilm FinePix
上傳時間: 2014-11-28
上傳用戶:chenxichenyue
The MatlabBGL library fills a hole in Matlab s suite of algorithms. Namely, it provides a rich set of algorithms to work with graphs, as in graph theory graphs. The MatlabBGL package uses Matlab s native sparse matrix type as a graph and provides algorithms that work
標簽: algorithms MatlabBGL provides library
上傳時間: 2014-11-17
上傳用戶:zyt
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
標簽: Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上傳時間: 2014-01-23
上傳用戶:whenfly
The Algorithm of Detectors Generating in Intrusion Detection System Based on Artificial Immune Theory
標簽: Artificial Generating Algorithm Detectors
上傳時間: 2013-12-27
上傳用戶:陽光少年2016