Rank: 64 based on 705 downloads (last 30 days) and 10 files submitted
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Masayuki Tanaka

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http://like.silk.to/matlab/

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Files Posted by Masayuki View all
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(last 30 days)
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15 Aug 2014 Screenshot Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka machine learning 311 38
  • 4.71429
4.7 | 16 ratings
06 Aug 2014 Screenshot Face Parts Detection It detects faces with left eye, right eye, mouth, and norse. Author: Masayuki Tanaka image processing, face, computer vision 190 51
  • 4.47619
4.5 | 22 ratings
18 Jul 2014 Screenshot Guided Upsampling and Residual Interpolation This tool upsamples the data with the high-resolution guidance image. Author: Masayuki Tanaka upsampling, image processing, filter 17 0
07 May 2014 Screenshot Noise Level Estimation from a Single Image It can precisely estimate noise level from a single image. Author: Masayuki Tanaka image processing 82 12
  • 5.0
5.0 | 3 ratings
25 Nov 2013 Screenshot GUI Image Mask Sample It is a sample code to draw and erase mask on an image by GUI. It gives you hints to develop the GUI Author: Masayuki Tanaka gui, image processing, image 11 0
  • 2.0
2.0 | 1 rating
Comments and Ratings by Masayuki View all
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25 Aug 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Seoul,

That is an actually great question.
The BBRBM is basically developed assuming the binary input. But, we can calculate the real value between 0 and 1. That is one of key point of my ICPR 2014 paper. If you have interests, please check the paper:

Masayuki Tanaka and Masatoshi Okutomi, A Novel Inference of a Restricted Boltzmann Machine, International Conference on Pattern Recognition (ICPR2014), August, 2014.

Thanks.

04 Aug 2014 Face Parts Detection It detects faces with left eye, right eye, mouth, and norse. Author: Masayuki Tanaka

Hi Sorath,

In my toolbox, I use a spatial correlation among a left eye, a right eye, a nose, and a mouse. I also use a hierarchical relationship between a face and face parts. I don’t think that a pistol and a rifle have such kind of spatial correlation. If there are some spatial correlation and/or the hierarchical relationship, you can combine multiple detectors for them by following my toolbox.

Thank you!

20 Jul 2014 Face Parts Detection It detects faces with left eye, right eye, mouth, and norse. Author: Masayuki Tanaka

Hi Sapio,

Thank you for your comment.
I think the bbox provides in the pixel coordinate. Please see the documentation of the computer vision toolbox for details of the bounding box.

Thank you.

18 Jul 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Andre Flipe,

Honestly, I could not get what kind of the network structure you want. But, if you set [10, 2] when create a DBN, it means that 10 nodes for input and 2 nodes for output without hidden nodes.

Thanks.

18 Jul 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Ari,

I have run testDNN. But, I could not reproduce the error which you mentioned.

Thanks.

Comments and Ratings on Masayuki's Files View all
Updated File Comment by Comments Rating
29 Aug 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka seoul

I have a question
RBM is always good
Sometimes this will not be getting work BACK-PROPAGATION
Why is that?


for example
rbm = epoch: 500 backpropagation = 2000epoch
NODE Structure [784 1568 1568 10]
iter: 1 -> traindata MSE = 0.8
iter: 2 -> MSE = 0.8
.
.
.
iter: 1000 -> MSE = 0.8

29 Aug 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka ZOU, Liang

25 Aug 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka Tanaka, Masayuki

Hi Seoul,

That is an actually great question.
The BBRBM is basically developed assuming the binary input. But, we can calculate the real value between 0 and 1. That is one of key point of my ICPR 2014 paper. If you have interests, please check the paper:

Masayuki Tanaka and Masatoshi Okutomi, A Novel Inference of a Restricted Boltzmann Machine, International Conference on Pattern Recognition (ICPR2014), August, 2014.

Thanks.

24 Aug 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka seoul

Why put a visible neuron to recognize the real value between 0 and 1 BBRBM also
Does well?

24 Aug 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka seoul

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