subject: Computer Science subject: feature evaluation
Total is 2 Results
Code and Dataset for Pattern Recognition Benchmarks
10.4231/R7610X8M
Jonas Hepp
,
Mireille Boutin
,
Yellamraju Tarun
02/03/2016
This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.
classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification
Code and Dataset for Pattern Recognition Benchmarks
10.4231/R7G73BPN
Jonas Hepp
,
Mireille Boutin
,
Yellamraju Tarun
12/12/2016
This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.
classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification
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