A guide to the perplexed business owner. Helping your business survive the unexpected shutdown.
標簽： business unexpected the perplexed
上傳時間： 2017-04-17
上傳用戶：xiaohuanhuan
目 錄 1. 異常和標準C對它的支持 2 2. Microsoft對異常處理方法的擴展 12 3. 標準C++異常處理的基本語法和語義 27 4. 實例剖析EH 33 5. C++的new和delete操作時的異常處理 40 6. Microsoft對于<new>的實現版本中的異常處理 47 7. 部分構造及placement delete 53 8. 自動刪除，類屬new和delete、placement new 和placement delete 59 9. placement new 和placement delete，及處理構造函數拋出的異常 68 10. 從私有子對象中產生的異常 74 11. 異常規格申明 83 12. unexpected()的實現上固有的限制 89 13. 異常安全 94 14. 模板安全 100 15. 模板安全（續） 107 16. 指導方針 113 17. C++異常和Visual C++ SEH的混合使用 120
上傳時間： 2014-01-05
上傳用戶：wqxstar
This document contains official rules of the 3D soccer simulation competition at RoboCup 2006. While we will try to cover all cases, if unexpected events do occur, the rule committee will seek input from the participants and then make a decision. However, once the committee has made a decision, that decision is final and will not be open to further discussion
標簽： competition simulation document contains
上傳時間： 2016-11-30
上傳用戶：zhengzg
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.
標簽： Super-resolution Multi-scale Dictionary Single Image for
上傳時間： 2019-03-28
上傳用戶：fullout
Accurate pose estimation plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected objects on the floor or wheel-slippage due to skidding or fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.
標簽： localization environments challenging Resilient mapping R-SLAM and in
上傳時間： 2019-09-15
上傳用戶：zhudx2007
It is more than a decade since GSM was first commercially available. After some unexpected delay, it seems that finally UMTS is here to stay as a 3G system standardised by 3GPP, at least for another ten years. UMTS will enable multi-service, multi-rate and flexible IP native-based mobile technologies to be used in wide area scenarios and also pave the way for a smooth transition from circuit switched voice networks to mobile packet services.
標簽： Management Strategies Resource Radio
上傳時間： 2020-06-01
上傳用戶：shancjb
The following sections profile many of the vendors in the NFV market. The individual profiles were created through a collaborative effort between SDNCentral’s Research Team and the Vendor’s product experts. SDNCentral worked under the assumption the information provided by the vendors was factual, auditing the submissions only to remove unverifiable claims and hyperbole. Extended profiles can be viewed online. While every attempt has been made to validate the capabilities listed in the profiles, SDNCentral advises end users to verify the veracity of each claim for themselves in their actual deployment environments. SDNCentral cannot be held liable for unexpected operations, damages or incorrect operation due to any inaccuracies listed here. SDNCentral welcomes feedback and additional information from end users based on their real-world experiences with the products and technologies listed. The SDNCentral research team can be reached at
標簽： SDxCentral-Mega-NFV-Report
上傳時間： 2020-06-01
上傳用戶：shancjb
