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Hansg91's profile - overview
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2013-05-20 05:50:53 -0600
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2015-01-14 03:35:27 -0600
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60
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13
Questions
1k
views
2
answers
2
votes
2014-01-03 07:49:12 -0600
Mostafa Sataki
filter2d and convolutions
filter2D
Wavelet
2k
views
1
answer
1
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2014-02-22 07:16:07 -0600
Hansg91
Watershed on gray image
watershed
722
views
no
answers
1
vote
2014-04-15 10:03:41 -0600
Hansg91
SVM weights parameter not set through Python
CvSVM
python
315
views
no
answers
1
vote
2013-06-14 05:37:23 -0600
Hansg91
Response of cv::filter2D
filter2D
2k
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no
answers
1
vote
2014-04-01 08:18:52 -0600
Hansg91
SVM weights to HOGDescriptor [closed]
HOGDescriptor
python
SVM
HOG
3k
views
1
answer
no
votes
2014-05-23 00:46:43 -0600
Abid Rahman K
calcHist on BGR in python
calcHist
python
549
views
no
answers
no
votes
2014-09-20 11:44:33 -0600
Hansg91
VideoCapture latency
videocapture
latency
495
views
no
answers
no
votes
2013-06-24 17:31:40 -0600
Hansg91
OpenCL on OSX
OSX
ocl
588
views
no
answers
no
votes
2014-01-19 16:49:15 -0600
Hansg91
Canny edge detector without thresholds [closed]
canny
3k
views
1
answer
no
votes
2013-06-15 14:16:37 -0600
berak
Matrix to single row
Mat
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8
Answers
7
SVM bias on weights of positives and negatives
3
Watershed on gray image
3
Best method to count the black and white pixels of the image.
2
PCA+SVM Explanation
0
Q: Live Camera feed without preview?
0
CascadeClassifier VS. cvHaarCascadeClassifier
0
Finding area center of rectangle
0
Compute Affine transform like with Active Appearance Models
2
Votes
2
0
48
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SVM bias on weights of positives and negatives
Watershed on gray image
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SVM bias on weights of positives and negatives
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calcHist on BGR in python
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Watershed on gray image
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1
Matrix to single row
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Nice Answer
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3
Best method to count the black and white pixels of the image.
SVM bias on weights of positives and negatives
Watershed on gray image
●
Popular Question
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3
SVM weights to HOGDescriptor
Matrix to single row
Watershed on gray image
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Best method to count the black and white pixels of the image.
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Response of cv::filter2D
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SVM bias on weights of positives and negatives
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