2016 Multi-University Training Contest 2 Acperience

本文探讨了如何通过简化卷积神经网络(CNN)来降低其在设备上的资源消耗,介绍了一种通过二值化权重并寻找最优缩放因子的方法,并提供了一个具体的实现示例。


Acperience

http://acm.hdu.edu.cn/showproblem.php?pid=5734
Time Limit: 4000/2000 MS (Java/Others)    Memory Limit: 65536/65536 K (Java/Others)
Total Submission(s): 513    Accepted Submission(s): 275


Problem Description
Deep neural networks (DNN) have shown significant improvements in several application domains including computer vision and speech recognition. In computer vision, a particular type of DNN, known as Convolutional Neural Networks (CNN), have demonstrated state-of-the-art results in object recognition and detection.

Convolutional neural networks show reliable results on object recognition and detection that are useful in real world applications. Concurrent to the recent progress in recognition, interesting advancements have been happening in virtual reality (VR by Oculus), augmented reality (AR by HoloLens), and smart wearable devices. Putting these two pieces together, we argue that it is the right time to equip smart portable devices with the power of state-of-the-art recognition systems. However, CNN-based recognition systems need large amounts of memory and computational power. While they perform well on expensive, GPU-based machines, they are often unsuitable for smaller devices like cell phones and embedded electronics.

In order to simplify the networks, Professor Zhang tries to introduce simple, efficient, and accurate approximations to CNNs by binarizing the weights. Professor Zhang needs your help.

More specifically, you are given a weighted vector W=(w1,w2,...,wn). Professor Zhang would like to find a binary vector B=(b1,b2,...,bn) (bi{+1,1}) and a scaling factor α0 in such a manner that WαB2 is minimum.

Note that  denotes the Euclidean norm (i.e. X=x21++x2n, where X=(x1,x2,...,xn)).
 

Input
There are multiple test cases. The first line of input contains an integer T, indicating the number of test cases. For each test case:

The first line contains an integers n (1n100000) -- the length of the vector. The next line contains n integers: w1,w2,...,wn (10000wi10000).
 

Output
For each test case, output the minimum value of WαB2 as an irreducible fraction "p/q" where pq are integers, q>0.
 

Sample Input
3 4 1 2 3 4 4 2 2 2 2 5 5 6 2 3 4
 

Sample Output
5/1 0/1 10/1
 

算是我的第一道数论题不难,然而并没有自己做出来

题意很简单给定w(10000wi10000) b 为正负1 自己找a使得

使得x^2最小

因为b为正负1 所以w全取绝对值 b全为正1 w-ab最小

x^2拆开之后得到

(w1^2+w2^2+...+wn^2) - 2*a*(w1+w2..wn)+n*a^2

当a = -a/b (韦达)时a最小 即wi的平均数

结果要用分数就gcd通分记得gcd也longlong



#include<stdio.h>
#include<string.h>
#include<algorithm>
#include<iostream>
#include<stdlib.h>
#include<math.h>

using namespace std;

long long gcd(long long  a,long long  b)
 {
 	if(a < b)
    {
        long long  t = a;
        a = b;
        b = t;
    }
 	return !b ? a : gcd(b,a%b);
 }
 
int main()
{
	int T;
	scanf("%d",&T);
	while(T--)
	{
		long long w;
		long long sum = 0;
		long long sum2 = 0;
		long long n;
		scanf("%I64d",&n);
		for(int i = 0;i < n;i++)
		{
			scanf("%I64d",&w);
			if(w<0)
			 w = 0-w;
			 sum += w;
			 sum2 += w*w;
		}
		long long num1 = n*sum2 - sum*sum;
		long long GCD = gcd(num1,n);
		printf("%I64d/%I64d\n",num1/GCD,n/GCD);
		
	}
	return 0;
 } 




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