Matrix-Rotate Image: 或者 You are given an n x n 2D matrix representing an image. Rotate the image by 90 degrees (clockwise). Follow up:Could you do thi ...
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其他好文 时间:
2016-05-13 12:44:51
阅读次数:
173
矩阵的操作符(Operators on Matrix)
加,减操作符(+, -) 适用于矩阵运算。 但是要求参与运算的矩阵行数和列数必须相等。 其运算过程就是矩阵的每个相同位置的分量执行加或者减操作, 其结果为相同大小的矩阵。 乘操作符(*) 可以适用于:
标量与矩阵 矩阵与标量 矢量与矩阵 矩阵与矢量 矩阵与矩阵
标量乘矩阵...
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编程语言 时间:
2016-05-13 03:25:10
阅读次数:
150
Level 1
Vector operations, e.g. y = /alpha x + y 向量操作
Level 2
Matrix-vector operations, e.g. y = /alpha A x + /beta y
矩阵与向量操作
Level 3
Matrix-matrix operations, e.g. C = /alpha A B + C
矩...
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其他好文 时间:
2016-05-13 02:17:08
阅读次数:
310
Matrix Chain MultiplicationSuppose you have to evaluate an expression like A*B*C*D*E where A,B,C,D and E are matrices. Since matrix multiplication is associative, the order in which multiplications are...
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其他好文 时间:
2016-05-13 01:15:13
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117
Error Correction
Time Limit : 2000/1000ms (Java/Other) Memory Limit : 131072/65536K (Java/Other)
Total Submission(s) : 1 Accepted Submission(s) : 1
Problem Description
A boolean matrix has th...
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其他好文 时间:
2016-05-12 22:26:33
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153
下面是一个简单的kernel函数,从integ_count_mat矩阵中用vload8函数取出A1,A2,A3,A4四个向量执行A4+A1-A2-A3,结果存入density_mat,代码中只用到了一个向量类型的变量sum。__kernel void object_density_filter(
matrix_info_cl im_info
, const __...
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其他好文 时间:
2016-05-12 21:34:33
阅读次数:
180
DescriptionAngel was caught by the MOLIGPY! He was put in prison by Moligpy. The prison is described as a N * M (N, M <= 200) matrix. There are WALLs, ROADs, and GUARDs in the prison.Angel’s friends wa...
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编程语言 时间:
2016-05-12 20:29:27
阅读次数:
287
1478: Metric Matrice
Time Limit: 1 Sec Memory Limit: 128 MB
Submit: 72 Solved: 37
SubmitStatusWeb Board
Description
nt j, determine if the distance matrix is "a metric" or not.
A dista...
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其他好文 时间:
2016-05-12 16:21:35
阅读次数:
158
Matrix
Time Limit: 3000MS Memory Limit: 65536K
Total Submissions: 23707 Accepted: 8762Description
Given an N*N matrix A, whose elements are either 0 or 1. A[i, j] means the number in the...
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编程语言 时间:
2016-05-12 16:12:51
阅读次数:
222
Population Sparsity(种群稀疏) vs Lifetime Sparsity(存在稀疏)Fn×m=Wn×d?Xd×m
F_{n\times m}=W_{n\times d}\cdot X_{d\times m}dd:表示原有的特征空间
nn:变换后的特征空间
mm:样本的数目
FF:特征矩阵(Feature Matrix)
每个样本都只用很少的激活(非零)特征来描述。具体来说,对于特...
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其他好文 时间:
2016-05-12 12:18:57
阅读次数:
478