sg tld

Topic links #include #include#includeusing namespacestd;intsg[ .];intGET_SG (intN) { if(n0)return 0; if(sg[n]!=-1)returnSg[n]; BOOLvis[ .]; //inexplicable! //vis[] Array to be declared in the function, if put outside will WAmemset (Vis,0,sizeof(VIS)); for(intI=1; i) Vis[get_sg (n-i-2) ^get_sg (I-3)]=1;//Sub-situation is different or//each one x, the left and right of the two lattice can not be selected, that is, five cells can not be selected//so

HDU 3595 GG and MM (Every-SG), hduevery-sg Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission (s): 805 Accepted Submission (s): 367Problem DescriptionGG and MM like playing a game since they are children. at the beginning of game, there are two piles of stones. MM chooses a pile of stones first, which has x stones, and then she can choose a positive number k and

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I haven't had a game in a long time. To write a template first:Now let's look at a game that seems more general: given a piece with a direction-free graph and a starting vertex, the two players alternately move the piece along a forward edge and cannot be judged negative by the moving side. In fact, this game can be thought of as an abstract model of all impartial combinatorial games. In other words, any ICG can be abstracted into this " graph game "by taking each situation as a vertex and a for

Objective:Original address: http://www.cnblogs.com/lxy2017/p/3927456.htmlBrief introduction:Original: http://blog.csdn.net/mysniper11/article/details/8726649Video Introduction Website: http://www.cvchina.info/2011/04/05/tracking-learning-detection/TLD (tracking-learning-detection) is a new single-target long term Tracking tracking algorithm presented by Zdenek Kalal, a Czech PhD student at the University of Surrey, UK, during his doctoral degree. The

I haven't had a game in a long time. To write a template first:Now let's look at a game that seems more general: given a piece with a direction-free graph and a starting vertex, the two players alternately move the piece along a forward edge and cannot be judged negative by the moving side. In fact, this game can be thought of as an abstract model of all impartial combinatorial games. In other words, any ICG can be abstracted into this " graph game "by taking each situation as a vertex and a for

Given a piece with a direction-free graph and a starting vertex, the two players alternately move the piece along a forward edge and cannot be judged negative by the mover. In fact, this game can be thought of as an abstract model of all impartial combinatorial games. In other words, any ICG can be abstracted into this "graph game" by taking each situation as a vertex and a forward edge to each situation and its sub-situation. Below we define the Sprague-grundy function on the vertex with the di

SummaryThis paper studies the long-term tracking problem of unknown target in video stream. In the first frame, the tracking target is defined by the selected location and size. In each of the following frames, the tracking task is to determine the location and size of the target or to indicate that the target does not exist. We propose a novel tracking framework (TLD) that explicitly decomposes long-term tracking tasks into tracking, learning, and de

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Simple collation of the next, there are all, good chaos ... TLD is the abbreviation of an algorithm, which is called tracking-learning-detection by the original author. Author website Link: http://personal.ee.surrey.ac.uk/Personal/Z.Kalal/ Paper: (1) tracking-learning-detection (2) Forward-backward Error Automatic Detection of Tracking failures (3) Online learning of robust object detectors during unstable tracking Source Code Resources: 1. Original a

a integer N, indicating the number of the heaps, the next line contains N integers s[0], s[1], .... , S[n-1], representing heaps with s[0], s[1], ..., s[n-1] objects respectively. (1≤n≤10^6, 1≤s[i]≤2^31-1)Outputfor each test case, output a line which contains either "Alice" or "Bob", which are the winner of this game. Alice would play first. Asume they never make mistakes.Sample Input232 2 323 3Sample OutputAlicebobSource2009 multi-university Training Contest 13-host by hitsMain topic:

Analysis of TLD Visual Tracking Technology In the monitoring of urban rail transit, the intelligent video analysis technology once experienced great challenges. However, due to the complicated monitoring environment of urban rail transit, it not only has a large area, long perimeter, multiple platforms, multiple entrances and exits, numerous fences, and other related equipment. This complex environment brings many difficulties to Intelligent Analysis.

integer N, indicating the number of the heaps, the next line contains N integers s [0], s [1],..., s [N-1], representing heaps with s [0], s [1],..., s [N-1] objects respectively. (1 ≤ n ≤ 10 ^ 6, 1 ≤ S [I] ≤ 2 ^ 31-1) Outputfor each test case, output a line which contains either "Alice" or "Bob", which is the winner of this game. Alice will play first. You may asume they never make mistakes. Sample Input 232 2 323 3 Sample output AliceBob Source2009 multi-university training contest 13-host by

Original article: http://blog.csdn.net/mysniper11/article/details/8726649 Video introduction URL: http://www.cvchina.info/2011/04/05/tracking-learning-detection/ TLD (tracking-Learning-detection) is a Czech PhD student Zdenek kalal proposed a new long term tracking (Long Term tracking) during his PhD degree at the University of surari) tracking Algorithm. This algorithm is significantly different from the traditional tracking algorithm in that it comb

will win.The Input data contains multiple test cases. Each test case occupies one row and contains three integers, m, n, p (1 M = n = p = 0 indicates that the input ends.Output: if the first player can win the game, Output "Fibo"; otherwise, Output "Nacci". The Output of each instance occupies one line.Sample Input 1 1 11 4 10 0 0Sample Output FiboNacciAuthorlcy SourceACM Short Term Exam_2007/12/13 Question: http://acm.hdu.edu.cn/showproblem.php? Pid = 1, 1848 The first question with the

Source: TLD Vision Tracking algorithmTLD algorithm good one, here is a video, the author shows the effect of the algorithm, http://www.56.com/u83/v_NTk3Mzc1NTI.html. Below this CSDN blog has someone to do the related summary, feel very good, collection! Here is a compressive tracking URL, the code provided is very small, but real-time is very good, matlab code down can be used.The following blog post is transferred from: http://blog.csdn.net/windtalke

Transferred from: http://blog.csdn.net/zouxy09/article/details/7893026 From the main () function, analyze the entire TLD operation as follows:8 stages(This is just an analysis of the work process, all the annotated Code see blog update)1, the analysis program runs the command line parameter;./run_tld-p. /parameters.yml-s. /datasets/06_car/car.mpg-b. /datasets/06_car/init.txt–r 2, read into the initialization parameters (variables in the program) file