I originally wrote this program as an exercise for learning JAVE. Gomoku game is well-known in many countries and every country calls it differently. The winner is the first player to get an unbroken row of five stones horizontally, vertically, or diagonally.
标签： originally well-known exercise learning
上传时间： 2017-09-09
上传用户：csgcd001
SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
标签： SiftGPU implementation processes parallely
上传时间： 2013-11-27
上传用户：zhangjinzj
memcat - Copy the value of a key to standard output memflush - Flush the contents of your servers. memrm - Remove a key(s) from the server. memstat - Dump the stats of your servers to standard output memslap - Load generation utility (benchmark!)
标签： the contents memflush standard
上传时间： 2014-11-28
上传用户：zhuimenghuadie
本书是英文版，但内容非常不错，本书目录如下： Table of Contents SIP—Understanding the Session Initiation Protocol, Second Edition Foreword to the First Edition Preface to - the Second Edition Preface to - the First Edition Chapter 1 - SIP and the Internet Chapter 2 - Introduction to SIP Chapter 3 - SIP Clients and Servers Chapter 4 - SIP Request Messages Chapter 5 - SIP Response Messages Chapter 6 - SIP Header Fields Chapter 7 - Related Protocols Chapter 8 - Comparison to H.323 Chapter 9 - Wireless and 3GPP Chapter 10 - Call Flow Examples Chapter 11 - Future Directions Appendix A - Changes in the SIP Specification from RFC 2543 to RFC 3261
标签： 英文
上传时间： 2014-01-06
上传用户：爺的气质
Program helping you to remember the route. It cab be route from conference room to coffee-room, it can be tourist trip, it can be pathway in labyrinth. during first traversal you make notes in you phone, specifying direction of movement and target of each step. Phone remembers how much time each steps takes. Then you can just inspect information about this trip and check duration of each stage and the whole trip. You can also replay it in forward and backward direction. So if somebody show you the shortest way to coffee machine, you can easily find the way back and can repeat this trip in future.
标签： route coffee-room conference remember
上传时间： 2014-01-05
上传用户：1159797854
Description Combination of book reader and Web browsers. This program can be used for Web browsing, reading news sites, downloading and reading books and atricles from the Web. It is not implement all HTML browser functionality - it doesn t show images and is not able to proceed forms. The main idea was to make it possible to view normal sites (not WAP sites) on very small screen of mobile phone. This application share a lot of code with MobiReader and first of all is inteded to be used to browse text data.
标签： Description Combination Web browsers
上传时间： 2013-12-16
上传用户：qweqweqwe
This book describes numerous situations that graduate students will commonly encounter as they work towards the goal of earning their PhD. Starting from your very first day in the lab, to the beginning stages of your post-PhD job search, to writing your dissertation,we’ve tried to offer you sage advice on how to handle particular situations as they arise.
标签： situations describes encounter commonly
上传时间： 2013-12-16
上传用户：225588
These codes require an ASCII input file interp.dat of the following form: N: Number of Polynomial Interpolation Points (Small) First Sample (x1,y1) Second Sample (x2,y2) ... Nth Sample (xN,yN) N1: Number of Error Evaluation Points (Large) First Sample (x1,y1) Second Sample (x2,y2) ... N1th Sample (xN1,yN1)
标签： Polynomia following require Number
上传时间： 2017-09-21
上传用户：许小华
If you are a C++ programmer who desires a fuller understanding of what is going on "under the hood," then Inside the C++ Object Model is for you! Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs.
标签： understanding programmer desires fuller
上传时间： 2017-09-25
上传用户：gtzj
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
标签： 计算机视觉
上传时间： 2015-03-15
上传用户：sb_zhang
