The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'SSC' (segmentation covering 2) in descending order. The sorting criterium or the order can be changed by clicking on the appropriate criterium label. Subset of compared results can be filtered by several filters below. The segmentation details (single mosaics and their corresponding criteria values) are visible by clicking on the order number. Below the criterium labels are mean and standard deviation of the values of displayed results. They are used to compute z-scores which are displayed in brackets. The ranks are displayed in parentheses.

Select  result's set    benchmark     hidden results Show Hide
Filter by algorithm features
? 0 1   f1 = classification (supervised segmentation)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
Filter by degradationtype: ? no Gaussian Poisson Salt&pepper Blur (Gaussian) Median
Filter by algorithm
Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM
CS
47.45
±16.33
OS
10.70
±2.98
US
15.36
±14.85
ME
26.53
±16.33
NE
26.34
±16.47
O
22.03
±15.74
C
20.46
±11.63
CA
65.08
±12.41
CO
74.58
±9.62
CC
79.30
±8.99
I
25.42
±9.62
II
5.90
±4.74
EA
73.38
±11.54
MS
62.14
±14.33
RM
7.79
±4.00
CI
74.93
±10.69
GCE
18.85
±7.62
LCE
11.78
±6.91
BCE
35.55
±11.07
GBCE
28.48
±10.83
BGM
74.58
±9.62
SC
68.33
±10.16
criterion 'SSC' (segmentation covering 2) in descending orderSSC
67.61
±11.33
VD
17.61
±6.57
L
73.76
±9.88
AVI
7.20
±2.93
NVI
23.48
±8.06
NMI
72.29
±11.07
M
14.54
±9.25
ARI
63.01
±15.07
JC
59.05
±11.71
DC
71.84
±10.38
FMI
72.79
±9.48
WI
70.32
±13.61
WII
77.40
±8.82
NBDE
7.87
±2.67
 1.  frzn's texNCUT   [large] 0 0 1 0  87.01 
 (2.67) 
 [1.087] 
72.54
(1)
[1.536]
10.92
(17)
[0.077]
9.61
(13)
[-0.387]
10.25
(3)
[-0.997]
9.83
(3)
[-1.002]
7.33
(2)
[-0.934]
8.17
(4)
[-1.057]
80.58
(1)
[1.248]
86.89
(1)
[1.279]
88.28
(2)
[1.000]
13.11
(1)
[-1.279]
2.36
(2)
[-0.747]
86.39
(1)
[1.127]
80.33
(1)
[1.270]
3.69
(1)
[-1.023]
86.97
(1)
[1.126]
11.92
(4)
[-0.909]
6.85
(6)
[-0.713]
20.64
(1)
[-1.347]
15.56
(1)
[-1.193]
86.89
(1)
[1.279]
82.46
(1)
[1.390]
81.90
(1)
[1.261]
9.18
(1)
[-1.284]
84.35
(5)
[1.072]
4.30
(3)
[-0.991]
14.49
(3)
[-1.115]
84.14
(3)
[1.071]
6.03
(1)
[-0.920]
81.48
(1)
[1.225]
75.77
(1)
[1.428]
85.35
(1)
[1.301]
85.50
(1)
[1.342]
84.76
(2)
[1.061]
86.57
(4)
[1.040]
4.49
(1)
[-1.265]
 2.  xiaofang's sas_gmm(color) c=7  [normal] 0 0 1 0  86.71 
 (3.39) 
 [1.036] 
66.88
(4)
[1.190]
13.63
(24)
[0.982]
11.93
(23)
[-0.231]
8.46
(1)
[-1.106]
8.44
(2)
[-1.086]
4.92
(1)
[-1.087]
6.97
(3)
[-1.160]
79.87
(2)
[1.191]
85.76
(2)
[1.162]
88.16
(3)
[0.986]
14.24
(2)
[-1.162]
2.36
(3)
[-0.746]
85.72
(2)
[1.069]
78.65
(2)
[1.152]
4.45
(3)
[-0.835]
86.33
(2)
[1.067]
11.00
(2)
[-1.031]
5.90
(3)
[-0.850]
21.14
(2)
[-1.301]
16.05
(2)
[-1.148]
85.76
(2)
[1.162]
81.49
(2)
[1.295]
81.61
(2)
[1.236]
9.50
(2)
[-1.235]
85.88
(1)
[1.227]
3.88
(1)
[-1.134]
13.10
(1)
[-1.288]
85.65
(1)
[1.207]
6.52
(2)
[-0.868]
80.86
(2)
[1.184]
75.31
(2)
[1.389]
85.05
(2)
[1.273]
85.32
(2)
[1.322]
85.89
(1)
[1.144]
85.29
(6)
[0.894]
5.58
(5)
[-0.859]
 3.  felipecalderero's GSRM sup. KL area-weighted  [normal] 0 0 1 0  85.76 
 (3.61) 
 [0.984] 
68.72
(2)
[1.303]
9.00
(10)
[-0.568]
6.67
(6)
[-0.585]
15.09
(7)
[-0.701]
15.16
(7)
[-0.678]
7.74
(4)
[-0.908]
6.79
(2)
[-1.175]
78.90
(3)
[1.113]
84.74
(3)
[1.056]
89.30
(1)
[1.113]
15.26
(3)
[-1.056]
2.10
(1)
[-0.803]
85.01
(3)
[1.008]
77.12
(3)
[1.045]
4.54
(4)
[-0.811]
85.98
(3)
[1.034]
13.29
(6)
[-0.730]
6.93
(7)
[-0.701]
22.51
(3)
[-1.178]
16.16
(3)
[-1.138]
84.74
(3)
[1.056]
80.09
(3)
[1.157]
80.13
(3)
[1.105]
10.88
(4)
[-1.025]
84.38
(3)
[1.074]
4.29
(2)
[-0.993]
14.22
(2)
[-1.148]
84.50
(2)
[1.103]
6.84
(3)
[-0.833]
78.95
(3)
[1.058]
73.34
(3)
[1.220]
83.20
(3)
[1.094]
83.40
(3)
[1.119]
84.46
(3)
[1.039]
82.76
(7)
[0.607]
4.96
(2)
[-1.090]
 4.  felipecalderero's GSRM MARKOV sup. KL area-weighted  [normal] 0 0 1 0  85.13 
 (5.22) 
 [0.907] 
67.55
(3)
[1.231]
11.36
(19)
[0.223]
9.11
(12)
[-0.421]
12.58
(4)
[-0.854]
13.54
(6)
[-0.777]
7.81
(5)
[-0.904]
8.42
(5)
[-1.035]
78.07
(4)
[1.046]
84.30
(5)
[1.009]
87.19
(8)
[0.878]
15.70
(5)
[-1.009]
2.91
(7)
[-0.631]
84.32
(5)
[0.948]
76.44
(5)
[0.998]
4.26
(2)
[-0.880]
85.01
(5)
[0.944]
13.33
(7)
[-0.724]
7.21
(8)
[-0.661]
23.13
(4)
[-1.122]
17.01
(4)
[-1.059]
84.30
(5)
[1.009]
79.53
(4)
[1.102]
79.83
(4)
[1.079]
10.85
(3)
[-1.031]
84.77
(2)
[1.114]
4.41
(4)
[-0.954]
14.60
(4)
[-1.102]
83.91
(4)
[1.050]
7.61
(4)
[-0.750]
77.27
(4)
[0.946]
71.45
(4)
[1.059]
82.06
(4)
[0.985]
82.33
(4)
[1.007]
82.59
(4)
[0.902]
82.65
(8)
[0.595]
5.06
(3)
[-1.052]
 5.  felipecalderero's GSRM MARKOV sup. BHAT area-weighted  [normal] 0 0 1 0  84.57 
 (5.75) 
 [0.878] 
64.07
(5)
[1.018]
8.59
(9)
[-0.705]
6.49
(5)
[-0.597]
18.58
(12)
[-0.487]
17.64
(10)
[-0.528]
8.75
(6)
[-0.844]
9.29
(6)
[-0.961]
77.86
(5)
[1.029]
84.44
(4)
[1.024]
87.76
(5)
[0.942]
15.56
(4)
[-1.024]
2.92
(8)
[-0.628]
84.44
(4)
[0.958]
76.66
(4)
[1.013]
4.61
(5)
[-0.793]
85.25
(4)
[0.966]
14.13
(9)
[-0.619]
7.37
(9)
[-0.638]
24.16
(5)
[-1.029]
17.40
(5)
[-1.024]
84.44
(4)
[1.024]
79.29
(5)
[1.078]
79.28
(5)
[1.031]
11.18
(5)
[-0.980]
84.37
(4)
[1.074]
4.61
(5)
[-0.886]
15.78
(5)
[-0.955]
82.78
(5)
[0.948]
8.07
(5)
[-0.700]
76.36
(5)
[0.886]
70.63
(5)
[0.989]
81.52
(5)
[0.932]
81.77
(5)
[0.947]
81.91
(6)
[0.852]
82.14
(10)
[0.537]
5.32
(4)
[-0.955]
 6.  felipecalderero's GSRM sup. BHAT area-weighted  [normal] 0 0 1 0  83.60 
 (6.75) 
 [0.776] 
61.12
(8)
[0.837]
9.32
(11)
[-0.460]
6.09
(4)
[-0.624]
20.61
(14)
[-0.363]
19.76
(14)
[-0.399]
7.68
(3)
[-0.912]
6.63
(1)
[-1.189]
76.73
(6)
[0.938]
83.56
(6)
[0.933]
88.10
(4)
[0.979]
16.44
(6)
[-0.933]
2.68
(5)
[-0.681]
83.77
(6)
[0.900]
75.33
(6)
[0.921]
4.94
(7)
[-0.710]
84.76
(6)
[0.920]
15.61
(11)
[-0.425]
8.64
(10)
[-0.453]
25.93
(6)
[-0.869]
18.96
(6)
[-0.879]
83.56
(6)
[0.933]
77.66
(6)
[0.918]
77.81
(6)
[0.900]
12.37
(7)
[-0.798]
82.44
(6)
[0.879]
5.08
(6)
[-0.726]
16.94
(6)
[-0.811]
81.48
(6)
[0.830]
8.32
(6)
[-0.673]
74.87
(6)
[0.787]
68.66
(6)
[0.821]
80.09
(6)
[0.795]
80.33
(6)
[0.796]
80.51
(7)
[0.749]
80.68
(11)
[0.371]
5.68
(6)
[-0.819]
 7.  felipecalderero's GSRM sup. KL area-weighted  [normal] S(0.324) 0 0 1 0  83.27 
 (7.78) 
 [0.694] 
62.94
(7)
[0.949]
14.25
(25)
[1.190]
6.95
(7)
[-0.566]
13.15
(5)
[-0.820]
13.35
(5)
[-0.789]
10.80
(7)
[-0.713]
11.24
(8)
[-0.793]
75.88
(7)
[0.869]
82.77
(7)
[0.851]
87.32
(7)
[0.892]
17.23
(7)
[-0.851]
2.49
(4)
[-0.721]
83.16
(7)
[0.847]
74.15
(7)
[0.838]
4.93
(6)
[-0.713]
84.07
(7)
[0.856]
15.86
(12)
[-0.392]
8.82
(11)
[-0.428]
26.51
(7)
[-0.816]
19.47
(7)
[-0.832]
82.77
(7)
[0.851]
76.83
(7)
[0.836]
77.25
(7)
[0.851]
12.24
(6)
[-0.818]
81.82
(7)
[0.816]
5.52
(7)
[-0.576]
18.53
(8)
[-0.614]
79.70
(7)
[0.670]
8.48
(7)
[-0.656]
74.71
(7)
[0.776]
68.62
(7)
[0.817]
80.05
(7)
[0.791]
80.28
(7)
[0.791]
81.99
(5)
[0.857]
79.07
(16)
[0.189]
5.91
(8)
[-0.732]
 8.  felipecalderero's GSRM sup. KL area-weighted  [normal] S(0.5) 0 0 1 0  82.29 
 (9.64) 
 [0.617] 
63.92
(6)
[1.009]
10.76
(15)
[0.022]
4.81
(2)
[-0.710]
15.93
(8)
[-0.650]
16.32
(8)
[-0.608]
11.25
(9)
[-0.685]
11.71
(10)
[-0.752]
74.64
(8)
[0.770]
81.95
(8)
[0.766]
87.65
(6)
[0.930]
18.05
(8)
[-0.766]
2.70
(6)
[-0.676]
82.70
(8)
[0.808]
72.93
(8)
[0.753]
5.29
(9)
[-0.624]
83.72
(8)
[0.822]
17.64
(18)
[-0.159]
10.85
(19)
[-0.134]
28.08
(8)
[-0.675]
21.29
(9)
[-0.664]
81.95
(8)
[0.766]
75.18
(8)
[0.673]
75.70
(8)
[0.714]
13.48
(9)
[-0.629]
81.64
(8)
[0.798]
6.08
(14)
[-0.384]
20.39
(15)
[-0.383]
77.73
(13)
[0.491]
9.16
(8)
[-0.582]
72.44
(10)
[0.626]
65.87
(10)
[0.583]
78.19
(10)
[0.612]
78.46
(10)
[0.598]
80.24
(8)
[0.729]
77.22
(18)
[-0.021]
5.92
(9)
[-0.728]
 9.  felipecalderero's GSRM sup. KL area-weighted  [normal] S(0.21) 0 0 1 0  81.86 
 (9.64) 
 [0.598] 
57.50
(9)
[0.616]
10.94
(18)
[0.080]
11.63
(20)
[-0.251]
17.99
(9)
[-0.523]
18.48
(11)
[-0.477]
11.06
(8)
[-0.697]
9.43
(7)
[-0.949]
73.55
(9)
[0.682]
81.01
(9)
[0.668]
85.29
(9)
[0.667]
18.99
(9)
[-0.668]
3.10
(9)
[-0.592]
80.99
(9)
[0.659]
71.51
(9)
[0.654]
5.64
(10)
[-0.536]
82.03
(9)
[0.664]
16.19
(13)
[-0.348]
8.86
(12)
[-0.421]
28.25
(9)
[-0.660]
20.92
(8)
[-0.698]
81.01
(9)
[0.668]
75.13
(9)
[0.669]
75.51
(9)
[0.698]
13.40
(8)
[-0.642]
80.64
(9)
[0.697]
5.57
(8)
[-0.557]
18.69
(11)
[-0.594]
79.32
(8)
[0.636]
9.23
(10)
[-0.574]
73.16
(8)
[0.674]
67.12
(8)
[0.689]
78.99
(8)
[0.689]
79.31
(8)
[0.688]
79.31
(9)
[0.660]
79.98
(12)
[0.292]
5.90
(7)
[-0.737]
 10.  xiaofang's sas_gmm(color+tensor)   [normal] 0 0 1 0  80.51 
 (11.42) 
 [0.495] 
56.18
(11)
[0.534]
8.22
(6)
[-0.831]
9.92
(14)
[-0.367]
26.38
(19)
[-0.010]
27.56
(20)
[0.074]
13.49
(12)
[-0.543]
17.74
(13)
[-0.234]
72.16
(10)
[0.570]
80.33
(10)
[0.597]
83.18
(14)
[0.432]
19.67
(10)
[-0.597]
3.76
(14)
[-0.451]
79.99
(10)
[0.572]
70.49
(11)
[0.583]
5.28
(8)
[-0.626]
80.84
(10)
[0.553]
16.40
(15)
[-0.321]
10.62
(18)
[-0.167]
28.98
(10)
[-0.594]
23.20
(12)
[-0.488]
80.33
(10)
[0.597]
73.93
(10)
[0.551]
73.97
(10)
[0.562]
14.02
(10)
[-0.547]
77.98
(12)
[0.427]
5.65
(9)
[-0.529]
18.68
(10)
[-0.596]
79.23
(9)
[0.627]
9.18
(9)
[-0.581]
72.82
(9)
[0.651]
66.42
(9)
[0.629]
78.69
(9)
[0.660]
79.03
(9)
[0.658]
78.92
(10)
[0.632]
79.83
(14)
[0.275]
7.06
(15)
[-0.304]
 11.  felipecalderero's GSRM sup. KL area-weighted  [normal] G(10dB) 0 0 1 0  80.54 
 (12.33) 
 [0.468] 
56.61
(10)
[0.561]
10.79
(16)
[0.030]
12.31
(24)
[-0.205]
19.81
(13)
[-0.412]
19.14
(13)
[-0.437]
11.85
(10)
[-0.647]
11.40
(9)
[-0.779]
71.50
(12)
[0.517]
79.41
(11)
[0.502]
83.38
(12)
[0.454]
20.59
(11)
[-0.502]
3.89
(15)
[-0.425]
79.06
(12)
[0.492]
69.12
(13)
[0.487]
6.34
(12)
[-0.361]
80.19
(12)
[0.492]
16.75
(16)
[-0.276]
9.71
(16)
[-0.299]
29.28
(11)
[-0.566]
22.24
(10)
[-0.576]
79.41
(11)
[0.502]
73.57
(11)
[0.515]
73.86
(11)
[0.552]
14.30
(11)
[-0.505]
79.91
(10)
[0.622]
5.70
(10)
[-0.512]
19.19
(12)
[-0.533]
78.51
(10)
[0.562]
10.43
(13)
[-0.445]
70.35
(13)
[0.487]
64.97
(12)
[0.505]
77.00
(12)
[0.497]
77.37
(12)
[0.484]
76.17
(12)
[0.430]
79.35
(15)
[0.221]
6.45
(11)
[-0.532]
 12.  david0432's Cooperative Mum-Shah   [normal] 0 0 1 0  80.21 
 (12.58) 
 [0.405] 
53.73
(13)
[0.384]
16.29
(28)
[1.875]
11.76
(22)
[-0.242]
18.57
(11)
[-0.487]
18.66
(12)
[-0.466]
12.55
(11)
[-0.602]
16.85
(12)
[-0.311]
71.58
(11)
[0.523]
78.99
(12)
[0.457]
84.91
(10)
[0.625]
21.01
(12)
[-0.457]
3.11
(10)
[-0.590]
79.39
(11)
[0.521]
70.84
(10)
[0.607]
6.45
(14)
[-0.334]
80.61
(11)
[0.532]
16.29
(14)
[-0.335]
8.88
(13)
[-0.419]
30.80
(13)
[-0.429]
23.38
(13)
[-0.471]
78.99
(12)
[0.457]
72.83
(12)
[0.443]
73.35
(12)
[0.507]
14.43
(12)
[-0.484]
79.26
(11)
[0.556]
5.92
(13)
[-0.438]
18.40
(7)
[-0.629]
78.23
(11)
[0.537]
10.09
(11)
[-0.482]
70.52
(12)
[0.498]
64.26
(13)
[0.445]
76.88
(13)
[0.486]
77.31
(13)
[0.478]
77.60
(11)
[0.535]
77.93
(17)
[0.059]
6.15
(10)
[-0.644]
 13.  david0432's Cooperative Mum-Shah Simple Memory  [normal] 0 0 1 0  79.58 
 (13.06) 
 [0.429] 
53.84
(12)
[0.391]
5.99
(2)
[-1.577]
11.67
(21)
[-0.249]
27.38
(21)
[0.052]
28.16
(21)
[0.111]
15.76
(15)
[-0.398]
19.18
(16)
[-0.110]
70.32
(13)
[0.422]
78.83
(13)
[0.441]
83.96
(11)
[0.519]
21.18
(13)
[-0.441]
3.25
(11)
[-0.560]
77.93
(13)
[0.395]
69.40
(12)
[0.507]
6.51
(15)
[-0.318]
79.53
(13)
[0.431]
17.42
(17)
[-0.188]
9.28
(14)
[-0.362]
30.67
(12)
[-0.441]
22.53
(11)
[-0.550]
78.83
(13)
[0.441]
72.81
(13)
[0.440]
72.73
(13)
[0.452]
14.76
(13)
[-0.434]
77.30
(14)
[0.358]
5.90
(11)
[-0.446]
18.54
(9)
[-0.612]
77.89
(12)
[0.506]
10.27
(12)
[-0.462]
70.66
(11)
[0.508]
65.32
(11)
[0.536]
77.30
(11)
[0.526]
77.58
(11)
[0.506]
75.81
(14)
[0.403]
79.92
(13)
[0.285]
6.78
(13)
[-0.407]
 14.  david0432's Cooperative Mum-Shah Weighted Memory  [normal] 0 0 1 0  78.84 
 (14.97) 
 [0.304] 
53.69
(14)
[0.382]
12.11
(21)
[0.474]
11.03
(18)
[-0.292]
24.65
(18)
[-0.115]
25.01
(18)
[-0.080]
14.58
(13)
[-0.473]
18.88
(15)
[-0.136]
69.50
(14)
[0.356]
78.02
(14)
[0.357]
83.19
(13)
[0.434]
21.98
(14)
[-0.357]
3.47
(12)
[-0.514]
77.93
(14)
[0.394]
68.66
(14)
[0.455]
6.35
(13)
[-0.359]
79.20
(14)
[0.400]
18.84
(19)
[-0.001]
10.51
(17)
[-0.183]
32.31
(15)
[-0.293]
23.98
(14)
[-0.416]
78.02
(14)
[0.357]
71.03
(15)
[0.266]
71.73
(14)
[0.363]
15.35
(14)
[-0.344]
77.69
(13)
[0.398]
6.26
(15)
[-0.320]
19.80
(14)
[-0.456]
76.83
(15)
[0.410]
10.58
(14)
[-0.429]
68.87
(14)
[0.389]
62.37
(15)
[0.284]
75.60
(15)
[0.362]
75.92
(15)
[0.331]
75.47
(15)
[0.378]
77.03
(19)
[-0.042]
6.88
(14)
[-0.368]
 15.  xiaofang's SR_multifeat all  [normal] 0 0 1 0  77.58 
 (15.92) 
 [0.175] 
45.57
(18)
[-0.115]
14.56
(26)
[1.294]
27.86
(25)
[0.842]
17.99
(10)
[-0.523]
17.58
(9)
[-0.531]
14.76
(14)
[-0.462]
20.63
(18)
[0.015]
65.36
(16)
[0.022]
76.12
(15)
[0.160]
76.95
(22)
[-0.261]
23.88
(15)
[-0.160]
5.18
(21)
[-0.152]
73.17
(21)
[-0.018]
64.18
(15)
[0.143]
7.49
(23)
[-0.074]
74.36
(21)
[-0.053]
14.68
(10)
[-0.547]
9.40
(15)
[-0.343]
32.16
(14)
[-0.307]
26.88
(16)
[-0.147]
76.12
(15)
[0.160]
71.39
(14)
[0.301]
70.07
(15)
[0.217]
15.46
(15)
[-0.329]
76.62
(15)
[0.289]
5.91
(12)
[-0.441]
19.57
(13)
[-0.485]
77.52
(14)
[0.473]
11.17
(16)
[-0.365]
68.58
(15)
[0.370]
62.59
(14)
[0.303]
75.81
(14)
[0.382]
76.54
(14)
[0.396]
72.03
(18)
[0.126]
82.58
(9)
[0.587]
7.63
(16)
[-0.089]
f1 f2 f3 f4 AVG
RANK
NORM
CS
47.45
±16.33
OS
10.70
±2.98
US
15.36
±14.85
ME
26.53
±16.33
NE
26.34
±16.47
O
22.03
±15.74
C
20.46
±11.63
CA
65.08
±12.41
CO
74.58
±9.62
CC
79.30
±8.99
I
25.42
±9.62
II
5.90
±4.74
EA
73.38
±11.54
MS
62.14
±14.33
RM
7.79
±4.00
CI
74.93
±10.69
GCE
18.85
±7.62
LCE
11.78
±6.91
BCE
35.55
±11.07
GBCE
28.48
±10.83
BGM
74.58
±9.62
SC
68.33
±10.16
criterion 'SSC' (segmentation covering 2) in descending orderSSC
67.61
±11.33
VD
17.61
±6.57
L
73.76
±9.88
AVI
7.20
±2.93
NVI
23.48
±8.06
NMI
72.29
±11.07
M
14.54
±9.25
ARI
63.01
±15.07
JC
59.05
±11.71
DC
71.84
±10.38
FMI
72.79
±9.48
WI
70.32
±13.61
WII
77.40
±8.82
NBDE
7.87
±2.67
 16.  felipecalderero's GSRM sup. KL area-weighted  [normal] G(5dB) 0 0 1 0  76.48 
 (17.06) 
 [0.069] 
47.86
(16)
[0.025]
12.30
(22)
[0.539]
11.02
(17)
[-0.292]
26.70
(20)
[0.011]
26.30
(19)
[-0.002]
18.03
(16)
[-0.255]
18.13
(14)
[-0.201]
66.47
(15)
[0.112]
75.69
(16)
[0.115]
82.15
(15)
[0.318]
24.31
(16)
[-0.115]
4.36
(18)
[-0.326]
75.31
(15)
[0.168]
63.54
(16)
[0.098]
7.36
(22)
[-0.107]
76.99
(15)
[0.193]
20.95
(20)
[0.275]
12.35
(20)
[0.083]
35.16
(16)
[-0.036]
26.56
(15)
[-0.177]
75.69
(16)
[0.115]
68.58
(16)
[0.025]
68.54
(16)
[0.082]
17.65
(16)
[0.006]
75.02
(16)
[0.127]
7.01
(16)
[-0.066]
23.57
(16)
[0.012]
73.63
(17)
[0.121]
12.47
(19)
[-0.224]
64.51
(17)
[0.099]
59.44
(16)
[0.033]
72.52
(17)
[0.065]
72.87
(17)
[0.009]
71.39
(19)
[0.079]
75.06
(20)
[-0.265]
7.64
(17)
[-0.084]
 17.  chaththa85's ImprvGMRF  [normal] 0 0 1 0  75.46 
 (18.36) 
 [-0.061] 
49.02
(15)
[0.096]
15.06
(27)
[1.462]
10.82
(16)
[-0.306]
21.44
(15)
[-0.312]
22.76
(16)
[-0.217]
22.06
(19)
[0.002]
26.87
(23)
[0.551]
64.74
(18)
[-0.028]
73.95
(19)
[-0.066]
79.03
(19)
[-0.029]
26.05
(19)
[0.066]
3.99
(17)
[-0.403]
73.98
(18)
[0.052]
60.92
(19)
[-0.085]
6.01
(11)
[-0.444]
75.18
(19)
[0.023]
23.07
(25)
[0.554]
15.90
(25)
[0.597]
36.10
(17)
[0.049]
28.92
(19)
[0.041]
73.95
(19)
[-0.066]
67.21
(18)
[-0.111]
67.44
(17)
[-0.015]
18.67
(17)
[0.161]
72.20
(21)
[-0.158]
8.14
(22)
[0.320]
27.33
(22)
[0.478]
70.26
(21)
[-0.184]
10.99
(15)
[-0.384]
66.08
(16)
[0.204]
59.42
(17)
[0.031]
73.13
(16)
[0.124]
73.46
(16)
[0.072]
76.08
(13)
[0.423]
71.54
(23)
[-0.665]
6.76
(12)
[-0.413]
 18.  felipecalderero's GSRM sup. KL area-weighted  [normal] P(0) 0 0 1 0  74.79 
 (18.03) 
 [-0.047] 
44.42
(19)
[-0.186]
8.57
(8)
[-0.712]
4.79
(1)
[-0.712]
42.24
(26)
[0.962]
41.43
(26)
[0.916]
19.37
(17)
[-0.169]
15.37
(11)
[-0.438]
65.09
(17)
[0.001]
74.78
(17)
[0.020]
80.58
(17)
[0.143]
25.22
(17)
[-0.020]
5.51
(22)
[-0.082]
74.36
(17)
[0.085]
62.17
(17)
[0.002]
6.89
(17)
[-0.224]
75.91
(16)
[0.092]
22.07
(21)
[0.423]
14.10
(22)
[0.336]
36.63
(19)
[0.097]
28.65
(18)
[0.016]
74.78
(17)
[0.020]
67.26
(17)
[-0.105]
66.65
(18)
[-0.085]
18.79
(18)
[0.180]
73.99
(17)
[0.023]
7.28
(18)
[0.025]
24.41
(18)
[0.116]
72.41
(19)
[0.011]
13.74
(21)
[-0.087]
61.72
(20)
[-0.085]
56.98
(19)
[-0.177]
70.42
(20)
[-0.137]
70.92
(20)
[-0.197]
68.85
(21)
[-0.108]
74.02
(22)
[-0.383]
7.85
(19)
[-0.007]
 19.  xiaofang's sas_gmm_withoutSparseCoding   [normal] 0 0 1 0  74.44 
 (18.83) 
 [-0.094] 
41.44
(20)
[-0.368]
9.92
(12)
[-0.262]
7.08
(8)
[-0.558]
40.76
(25)
[0.871]
40.86
(25)
[0.882]
22.52
(20)
[0.031]
20.14
(17)
[-0.028]
64.51
(19)
[-0.046]
73.99
(18)
[-0.062]
80.10
(18)
[0.089]
26.01
(18)
[0.062]
3.96
(16)
[-0.409]
74.47
(16)
[0.094]
60.99
(18)
[-0.080]
6.89
(18)
[-0.224]
75.71
(17)
[0.073]
22.63
(23)
[0.496]
15.76
(24)
[0.576]
36.54
(18)
[0.089]
29.66
(21)
[0.109]
73.99
(18)
[-0.062]
65.83
(21)
[-0.246]
66.36
(19)
[-0.110]
19.60
(21)
[0.302]
72.59
(19)
[-0.118]
7.35
(19)
[0.051]
24.66
(19)
[0.147]
73.03
(18)
[0.067]
11.68
(18)
[-0.310]
64.47
(18)
[0.097]
57.73
(18)
[-0.113]
71.91
(18)
[0.007]
72.25
(18)
[-0.056]
73.82
(17)
[0.257]
71.38
(24)
[-0.683]
8.70
(22)
[0.311]
 20.  felipecalderero's GSRM sup. KL area-weighted  [normal] G(0dB) 0 0 1 0  74.08 
 (20.11) 
 [-0.135] 
46.68
(17)
[-0.047]
10.33
(14)
[-0.123]
8.27
(11)
[-0.478]
35.88
(23)
[0.573]
34.95
(23)
[0.523]
25.25
(23)
[0.204]
22.55
(20)
[0.180]
64.07
(20)
[-0.082]
73.83
(20)
[-0.079]
78.70
(20)
[-0.067]
26.17
(20)
[0.079]
5.09
(20)
[-0.172]
73.24
(20)
[-0.012]
60.74
(20)
[-0.097]
6.89
(19)
[-0.224]
74.67
(20)
[-0.024]
22.88
(24)
[0.529]
14.21
(23)
[0.353]
37.76
(21)
[0.200]
29.09
(20)
[0.057]
73.83
(20)
[-0.079]
66.08
(19)
[-0.221]
66.33
(20)
[-0.113]
18.81
(19)
[0.183]
72.39
(20)
[-0.139]
7.90
(20)
[0.237]
26.39
(20)
[0.361]
70.13
(22)
[-0.195]
13.77
(22)
[-0.084]
61.22
(21)
[-0.119]
56.54
(20)
[-0.214]
70.01
(21)
[-0.177]
70.45
(21)
[-0.246]
67.57
(22)
[-0.202]
74.26
(21)
[-0.357]
7.83
(18)
[-0.013]
 21.  test's test FD generic  [large] 0 0 1 0  74.61 
 (19.42) 
 [-0.132] 
39.87
(21)
[-0.464]
17.06
(29)
[2.132]
10.19
(15)
[-0.348]
30.37
(22)
[0.235]
30.77
(22)
[0.269]
21.40
(18)
[-0.040]
20.94
(19)
[0.041]
63.82
(21)
[-0.102]
73.11
(21)
[-0.153]
80.80
(16)
[0.168]
26.89
(21)
[0.153]
3.56
(13)
[-0.495]
73.90
(19)
[0.045]
59.67
(21)
[-0.172]
6.80
(16)
[-0.247]
75.37
(18)
[0.041]
22.41
(22)
[0.467]
13.48
(21)
[0.247]
37.49
(20)
[0.175]
28.56
(17)
[0.008]
73.11
(21)
[-0.153]
65.92
(20)
[-0.238]
66.03
(21)
[-0.140]
19.10
(20)
[0.226]
73.04
(18)
[-0.073]
7.19
(17)
[-0.005]
24.41
(17)
[0.116]
73.91
(16)
[0.147]
11.30
(17)
[-0.351]
64.28
(19)
[0.084]
56.51
(21)
[-0.216]
71.29
(19)
[-0.053]
71.62
(19)
[-0.123]
74.70
(16)
[0.322]
69.21
(25)
[-0.929]
8.30
(21)
[0.161]
 22.  xiaofang's gmm_lrr   [normal] 0 0 1 0  71.37 
 (22.19) 
 [-0.397] 
30.96
(23)
[-1.010]
13.15
(23)
[0.821]
7.38
(9)
[-0.537]
45.70
(27)
[1.174]
46.28
(27)
[1.211]
24.49
(22)
[0.156]
23.96
(21)
[0.301]
60.47
(22)
[-0.372]
70.37
(23)
[-0.438]
78.62
(21)
[-0.075]
29.63
(23)
[0.438]
4.37
(19)
[-0.323]
71.37
(22)
[-0.174]
55.56
(23)
[-0.459]
7.26
(21)
[-0.132]
72.88
(22)
[-0.192]
25.48
(26)
[0.870]
17.53
(26)
[0.833]
40.61
(22)
[0.457]
32.65
(22)
[0.386]
70.37
(23)
[-0.438]
62.53
(23)
[-0.571]
62.57
(22)
[-0.445]
22.21
(25)
[0.700]
71.79
(22)
[-0.200]
7.96
(21)
[0.258]
26.41
(21)
[0.364]
71.61
(20)
[-0.062]
12.73
(20)
[-0.196]
59.92
(22)
[-0.205]
53.44
(22)
[-0.479]
67.75
(22)
[-0.393]
68.24
(22)
[-0.479]
71.17
(20)
[0.063]
66.32
(27)
[-1.258]
8.77
(23)
[0.338]
 23.  felipecalderero's GSRM sup. KL area-weighted  [normal] G(-5dB) 0 0 1 0  70.67 
 (22.75) 
 [-0.469] 
36.25
(22)
[-0.686]
10.28
(13)
[-0.141]
11.27
(19)
[-0.275]
39.69
(24)
[0.806]
38.96
(24)
[0.767]
24.32
(21)
[0.145]
24.49
(22)
[0.347]
60.09
(23)
[-0.402]
72.05
(22)
[-0.264]
75.32
(23)
[-0.442]
27.95
(22)
[0.264]
5.85
(23)
[-0.010]
71.02
(23)
[-0.205]
58.07
(22)
[-0.284]
7.18
(20)
[-0.150]
72.31
(23)
[-0.245]
27.72
(27)
[1.165]
19.26
(27)
[1.083]
42.71
(23)
[0.646]
34.24
(23)
[0.532]
72.05
(22)
[-0.264]
62.55
(22)
[-0.569]
61.88
(23)
[-0.506]
22.07
(24)
[0.679]
69.52
(23)
[-0.429]
9.46
(26)
[0.769]
31.57
(26)
[1.004]
64.59
(23)
[-0.696]
15.35
(23)
[0.087]
55.50
(23)
[-0.498]
50.21
(23)
[-0.755]
65.24
(23)
[-0.635]
65.67
(23)
[-0.751]
63.07
(23)
[-0.533]
69.14
(26)
[-0.938]
8.06
(20)
[0.074]
 24.  felipecalderero's GSRM sup. BHAT area-unweighted  [normal] 0 0 1 0  64.36 
 (21.64) 
 [-1.054] 
30.14
(24)
[-1.060]
8.02
(5)
[-0.896]
51.23
(28)
[2.415]
14.96
(6)
[-0.709]
11.63
(4)
[-0.893]
54.00
(27)
[2.031]
47.43
(29)
[2.319]
47.27
(24)
[-1.435]
61.41
(25)
[-1.369]
59.94
(29)
[-2.153]
38.59
(25)
[1.369]
15.45
(26)
[2.015]
54.30
(25)
[-1.653]
42.12
(25)
[-1.397]
15.00
(26)
[1.804]
56.98
(26)
[-1.679]
11.26
(3)
[-0.996]
5.06
(1)
[-0.972]
49.09
(25)
[1.223]
42.90
(24)
[1.332]
61.41
(25)
[-1.369]
57.89
(25)
[-1.027]
52.84
(24)
[-1.304]
21.58
(23)
[0.604]
59.36
(25)
[-1.458]
8.53
(24)
[0.451]
28.38
(24)
[0.608]
58.61
(24)
[-1.236]
32.08
(26)
[1.896]
40.00
(24)
[-1.527]
45.15
(24)
[-1.187]
58.44
(25)
[-1.290]
62.85
(25)
[-1.048]
47.02
(25)
[-1.712]
88.93
(2)
[1.307]
12.48
(27)
[1.730]
 25.  felipecalderero's GSRM MARKOV sup. BHAT area-unweighted  [normal] 0 0 1 0  65.36 
 (21.03) 
 [-0.939] 
28.66
(25)
[-1.151]
5.38
(1)
[-1.780]
56.22
(29)
[2.752]
9.41
(2)
[-1.049]
7.90
(1)
[-1.119]
48.30
(26)
[1.668]
30.54
(24)
[0.866]
46.74
(25)
[-1.478]
61.85
(24)
[-1.324]
66.02
(24)
[-1.477]
38.15
(24)
[1.324]
15.82
(28)
[2.092]
53.90
(26)
[-1.687]
42.78
(24)
[-1.351]
15.39
(27)
[1.902]
57.32
(25)
[-1.648]
10.00
(1)
[-1.161]
5.31
(2)
[-0.936]
48.97
(24)
[1.212]
44.27
(26)
[1.459]
61.85
(24)
[-1.324]
58.60
(24)
[-0.958]
52.64
(25)
[-1.322]
21.45
(22)
[0.584]
59.55
(24)
[-1.438]
8.51
(23)
[0.447]
28.23
(23)
[0.590]
58.26
(25)
[-1.267]
32.80
(28)
[1.975]
39.80
(25)
[-1.540]
44.33
(25)
[-1.257]
58.53
(24)
[-1.282]
62.95
(24)
[-1.038]
46.63
(27)
[-1.741]
89.92
(1)
[1.420]
10.85
(25)
[1.118]
 26.  felipecalderero's GSRM sup. KL area-unweighted  [normal] 0 0 1 0  63.11 
 (23.50) 
 [-1.161] 
26.52
(26)
[-1.282]
6.92
(4)
[-1.265]
46.13
(26)
[2.072]
21.50
(16)
[-0.308]
20.99
(15)
[-0.324]
55.50
(28)
[2.126]
32.41
(25)
[1.027]
44.41
(27)
[-1.665]
58.90
(27)
[-1.630]
64.56
(26)
[-1.640]
41.10
(27)
[1.630]
15.74
(27)
[2.076]
52.16
(28)
[-1.838]
38.35
(27)
[-1.660]
15.95
(28)
[2.041]
56.08
(27)
[-1.764]
13.95
(8)
[-0.642]
6.67
(5)
[-0.739]
51.39
(26)
[1.430]
44.10
(25)
[1.443]
58.90
(27)
[-1.630]
54.83
(26)
[-1.329]
50.50
(26)
[-1.511]
23.06
(26)
[0.829]
57.92
(26)
[-1.604]
9.00
(25)
[0.615]
30.28
(25)
[0.844]
57.57
(26)
[-1.330]
32.62
(27)
[1.954]
37.42
(27)
[-1.698]
43.17
(26)
[-1.355]
57.07
(26)
[-1.423]
61.20
(26)
[-1.223]
45.75
(28)
[-1.806]
86.03
(5)
[0.978]
12.06
(26)
[1.572]
 27.  felipecalderero's GSRM sup. KL area-weighted  [normal] G(-10dB) 0 0 1 0  59.13 
 (25.14) 
 [-1.543] 
15.05
(28)
[-1.984]
8.40
(7)
[-0.770]
5.06
(3)
[-0.694]
72.08
(28)
[2.789]
71.63
(28)
[2.749]
38.99
(24)
[1.077]
39.64
(26)
[1.649]
45.35
(26)
[-1.590]
60.22
(26)
[-1.493]
64.79
(25)
[-1.613]
39.78
(26)
[1.493]
10.30
(24)
[0.928]
58.04
(24)
[-1.329]
40.34
(26)
[-1.522]
9.92
(24)
[0.533]
60.09
(24)
[-1.388]
37.30
(28)
[2.422]
27.77
(28)
[2.316]
55.07
(27)
[1.763]
45.54
(27)
[1.576]
60.22
(26)
[-1.493]
49.88
(27)
[-1.815]
48.28
(27)
[-1.706]
30.79
(28)
[2.007]
57.54
(27)
[-1.642]
12.42
(28)
[1.781]
41.96
(28)
[2.293]
51.05
(27)
[-1.919]
22.42
(24)
[0.852]
39.50
(26)
[-1.560]
38.08
(27)
[-1.791]
54.31
(27)
[-1.689]
54.84
(28)
[-1.894]
49.83
(24)
[-1.506]
60.95
(28)
[-1.867]
10.50
(24)
[0.986]
 28.  felipecalderero's GSRM MARKOV sup. KL area-unweighted  [normal] 0 0 1 0  58.40 
 (24.78) 
 [-1.614] 
21.25
(27)
[-1.605]
6.13
(3)
[-1.528]
49.95
(27)
[2.329]
24.57
(17)
[-0.120]
23.37
(17)
[-0.180]
60.05
(29)
[2.415]
40.84
(27)
[1.752]
37.52
(29)
[-2.221]
53.27
(28)
[-2.216]
61.10
(28)
[-2.023]
46.73
(28)
[2.216]
18.42
(29)
[2.641]
45.16
(29)
[-2.445]
29.90
(29)
[-2.250]
19.35
(29)
[2.893]
49.58
(29)
[-2.372]
12.47
(5)
[-0.837]
6.54
(4)
[-0.759]
57.52
(28)
[1.984]
51.59
(28)
[2.135]
53.27
(28)
[-2.216]
49.28
(28)
[-1.874]
44.10
(28)
[-2.075]
26.02
(27)
[1.280]
53.18
(28)
[-2.083]
10.28
(27)
[1.050]
34.43
(27)
[1.359]
49.28
(28)
[-2.079]
41.93
(29)
[2.961]
27.97
(29)
[-2.325]
37.24
(28)
[-1.862]
50.96
(28)
[-2.012]
56.40
(27)
[-1.728]
38.90
(29)
[-2.309]
87.22
(3)
[1.113]
13.06
(28)
[1.946]
 29.  Alojz's TAlgorithm 0.1  [normal] 0 0 1 0  52.97 
 (27.44) 
 [-2.276] 
13.11
(29)
[-2.103]
11.94
(20)
[0.415]
8.18
(10)
[-0.483]
76.71
(29)
[3.073]
77.30
(29)
[3.094]
44.41
(25)
[1.421]
46.76
(28)
[2.261]
40.40
(28)
[-1.989]
52.42
(29)
[-2.304]
63.23
(27)
[-1.787]
47.58
(29)
[2.304]
12.47
(25)
[1.385]
52.83
(27)
[-1.780]
31.07
(28)
[-2.168]
14.09
(25)
[1.577]
55.02
(28)
[-1.863]
45.06
(29)
[3.439]
37.72
(29)
[3.756]
61.44
(29)
[2.338]
54.10
(29)
[2.367]
52.42
(29)
[-2.304]
41.97
(29)
[-2.594]
41.82
(29)
[-2.277]
39.59
(29)
[3.346]
51.93
(29)
[-2.209]
18.79
(29)
[3.953]
47.89
(29)
[3.030]
44.63
(29)
[-2.499]
25.93
(25)
[1.231]
32.97
(28)
[-1.993]
31.47
(29)
[-2.355]
45.98
(29)
[-2.492]
46.62
(29)
[-2.760]
46.86
(26)
[-1.724]
47.76
(29)
[-3.363]
15.50
(29)
[2.861]