codes-matlab.rar - this codes is Source code for face detection of viola paper.of its Features is:
Feature Computation: The “Integral” image representation
Feature Selection: The AdaBoost training algorithm .
Real-timeliness: A cascade of classifiers.
,2016-01-01 20:44:24,下载7次
code-(2).rar - Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes.
- The snapshot and bitmap of shapes are given:
- Training shapes: shkt.bmp
- Training patterns: trn.txt (each shape is in a 125*140 matrix)
- Test shapes: shks.bmp
- Test patterns: tsn.txt (each shape is in a 125*140 matrix)
- Since the dimension of inputs is too high (17500-dimensional), it is not possible to apply them directly to the net. So, … .
- Try the number of hidden neurons to be at least.
- Do training of NN until all training patterns are truly classified.
- To examine the generalization ability of your NN after training,
a) Apply it to the test patterns and report the accuracies.
b) Add p noise (p=5, 10, …, 75) to the training shapes (only degrade the
black pixels of the shapes) and report in a plot the accuracy versus p.,2016-01-01 18:01:34,下载3次
code.rar - In first assignment you implemented Wang-Mendel method for given problem. In
this assignment you should use the COR-WM-method in “Improving the Wang and
Mendel’s Fuzzy Rule Learning Method by Inducing Cooperation Among Rules”
paper and improve the results of Assignment#1. You should use SA1 technique to
obtain the set of rules with the best cooperation. Parameters and formulas for
given problem have not changed.,2016-01-01 17:32:24,下载7次