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
免疫遺傳算法解決TSP問題的源程序，屬于本人寫文章測試benchmark problem用的程序。
上傳時間： 2016-02-21
上傳用戶：hn891122
實現了TS，SA，GA，ENA，MGLS等一系列現代優化算法，包括benchmark
標簽：
上傳時間： 2014-01-07
上傳用戶：一諾88
本人修改過的elm的matlab算法，該算法比原來的elm的算法在超過3個神經元后的計算速度能明顯加快！原理是運用函數產生列矩陣！！ ELM 是一種快速的神經網絡算法，本人已經比較過，比很多流行的算法（BP,SVM）都快,而且效果很好，運行環境是matlab，可以測試所有的benchmark的數據
上傳時間： 2016-09-18
上傳用戶：xuan‘nian
本人編寫的GramSchmidt神經網絡算法，和傳統的神經網絡算法比較，該算法能自動產生神經元，節約時間，速度快！ 本人還加了自動產生分類的方法和適合各種函數的轉換，該zip包括兩個文件，一個是GramSchmidt正交分解，是個子函數，主函數是orth_GramSchmidt，放在同一目錄下，就可運行，可以對benchmark的逼近和分類問題提供解決方案
標簽： GramSchmidt 編寫 神經網絡算法
上傳時間： 2014-01-06
上傳用戶：yepeng139
本人編寫的QR分解的神經網絡算法，該算法用QR分解神經網絡的隱含層矩陣，可以作為學術上的比較和分析。適合各種benchmark問題，本人還加了自動產生分類向量和自動適應各種函數的例子
上傳時間： 2016-09-18
上傳用戶：1079836864
本人編寫的incremental 隨機神經元網絡算法，該算法最大的特點是可以保證approximation特性，而且速度快效果不錯，可以作為學術上的比較和分析。目前只適合benchmark的regression問題。 具體效果可參考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
標簽： incremental 編寫 神經元網絡 算法
上傳時間： 2016-09-18
上傳用戶：litianchu
The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performance benchmark test originally developed by Reinhold Weicker in 1984. This benchmark is used to measure and compare the performance of different computers or, in this case, the efficiency of the code generated for the same computer by different compilers. The test reports general performance in dhrystones per second. Like most benchmark programs, dhrystone consists of standard code and concentrates on string handling. It uses no floating-point operations. It is heavily influenced by hardware and software design, compiler and linker options, code optimizing, cache memory, wait states, and integer data types. The DHRY program is available in different targets: Simulator: Large Model: DHRY example in LARGE model for Simulation Philips 80C51MX: DHRY example in LARGE model for the Philips 80C51MC
標簽： general-performanc benchmarks Dhrystone dhrystone
上傳時間： 2016-11-30
上傳用戶：hphh
The Software Engineering Institute’s (SEI) Capability Maturity Model (CMM) provides a well-known benchmark of software process maturity. The CMM has become a popular vehicle for assessing the maturity of an organization’s software process in many domains. This white paper describes how the Rational Unified Process can support an organization that is trying to achieve CMM Level-2, Repeatable, and Level-3, Defined, software process maturity levels.
標簽： Engineering Capability well-known Institute
上傳時間： 2017-02-27
上傳用戶：zhichenglu
This package contains the following source code files: - demo.c Demo application source, with message packing/unpacking example - benchmark.c Benchmark source, to benchmark pack/unpack operations - dl_c_iso8583_v0_0_3 (16th July 2008) DL ISO-8583 library source files - dl_c_common_v0_0_2 (14th October 2007) DL Common source files (used by DL ISO-8583) - benchmark / demo Sample MSVC 6.0 project files
標簽： application following contains package
上傳時間： 2013-12-19
上傳用戶：米卡
