Rank: 60 based on 810 downloads (last 30 days) and 10 files submitted
photo

Masayuki Tanaka

E-mail

Personal Profile:

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

Professional Interests:

 

Watch this Author's files

 

Files Posted by Masayuki View all
Updated   File Tags Downloads
(last 30 days)
Comments Rating
10 Sep 2014 Screenshot Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka machine learning 376 42
  • 4.75
4.8 | 18 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 196 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 22 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, pick of the week, potw 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 17 0
  • 2.0
2.0 | 1 rating
Comments and Ratings by Masayuki View all
Updated File Comments Rating
10 Sep 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi Giacomo,

Thank you for your comment and bug report!
You are correct. That was a bug. I already fixed it and update the code.
Please use the latest version.

Thank you!

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

Hi Seoul,

Thank you for your comment.

I think it depends the training data.

If you find any observation related that phenomena, please let me know.

Thanks,

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.

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

Hi Masayuki Tanaka, I can't find your paper "A Novel Inference of a Restricted Boltzmann Machine, International Conference on Pattern Recognition (ICPR2014), August, 2014." on the google schoolar website, could you send it to my email.
In addition, I wonder whether this algorithm is also suitable for speech processing, such as speech feature extraction or audio classification.Thank you!

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

Hi Giacomo,

Thank you for your comment and bug report!
You are correct. That was a bug. I already fixed it and update the code.
Please use the latest version.

Thank you!

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

Hi Masayuki Tanaka,
first of all thank you for your work :). I have just found a bug in the code. Please let me know (and ignore it) if it is not correct.

File: trainDBN.m
Rows: 128,129
Descr: the opts matlab struct has the field 'object' with letter 'o' not capitalized. The code actually checks if 'Object' - capitalized - is an existing field and, if true, it compares the content of opts.object - not capitalized -. This always leads to the default value OBJECTSQUARE even if you set the field 'object' equals to 'CrossEntropy'.

thank you again,
Giacomo

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

Hi Seoul,

Thank you for your comment.

I think it depends the training data.

If you find any observation related that phenomena, please let me know.

Thanks,

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

Contact us