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Kenta


Last seen: Today
173 total contributions since 2018

A ph.D student in Japan

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Answered
Creating an RCNN with two image inputs and a regression output
As of 2019b, a new system called "custom training loop" which enables you to implement multi-input CNN is available. For examp...

21 minutes ago | 0

Submitted


Image Classification using CNN with Multi Input
This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input. カスタムループを用いて複数入力のC...

29 minutes ago | 14 downloads |

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Bug in Classify Videos Using Deep Learning
I think all of data could be down loaded propaery or something. I am not sure because the error statement is not attached. The...

2 hours ago | 0

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Error during Classify Videos Using Deep Learning
I think it is due to the absence of the video files that should have been in your directry. The example requires comparatively b...

2 hours ago | 0

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Human activity recognition from video
I am not sure but the below is a demo of video classification which may relate to your study. https://jp.mathworks.com/matlabce...

2 hours ago | 0

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Images classification using SVM classifier
As of now, the use of deep learning is a good option for image classification. You can find a lot of information below. https:/...

3 hours ago | 0

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video classification using svm
One option is to use CNN and LSTM. The demo below is for video classification using machine/deep leaning method. It depends, b...

3 hours ago | 0

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How can I classify the motion object that is human, animals or other objects?
One option is to use CNN and LSTM. I attach the demo for video classification. https://jp.mathworks.com/matlabcentral/fileexch...

3 hours ago | 0

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Classify
For example, in Support Vector Machine (SVM), you can specify the weitht of each class by defining some parameters such as cost ...

3 hours ago | 0

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How can i Speed up the training Faster RCNN
As of 2020a, algorithms for object detection have been updated. For example, SSD (Single Shot Detector), YOLO v2 and YOLO v3 are...

5 hours ago | 0

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Training CNNs on video data
One option is to use CNN and LSTM. As long as the data is correctly saved in the mat file, you do not have to care about the fil...

1 day ago | 0

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Answered
Deep Learning, video classification
I am not sure but the below is a demo of video classification which may relate to your study. https://jp.mathworks.com/matlabce...

1 day ago | 0

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Answered
Which is the best way to classify videos in MATLAB?
One option is to use CNN and LSTM. The below is a demo of video classification which may relate to your study. https://jp.mathw...

1 day ago | 0

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how to make classification for video
One option is to use CNN and LSTM. The below is a demo of video classification which may relate to your study. https://jp.mathw...

1 day ago | 0

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How to create a custom multi input layer for sequence model
As of 2019b, a new system called "custom training loop" which enables you to implement multi-input CNN is available. For examp...

1 day ago | 0

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multi Layer input CNN in Matlab 2018
As of 2019b, a new system called "custom training loop" which enables you to implement multi-input CNN is available. For examp...

1 day ago | 0

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Answered
Question regrading CNN for multi-input (multiple input layer)
As of 2019b, a new system called "custom training loop" which enables you to implement multi-input CNN is available. For examp...

1 day ago | 0

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Answered
Is it possible to make 2 stream CNN by using Matlab?
As of 2019b, a new system called "custom training loop" which enables you to implement multi-input CNN is available. For examp...

1 day ago | 0

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hand gesture data classification and recognize gesture from image
In this case, one solution is a use of CNN and LSTM for video (gesture) classification. Although you might focus on classficat...

2 days ago | 0

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visualization SVM with 3 feature
Hi, are you still waiting for the answer to solve it? I hope my answer contributes to you and the potential users who would li...

3 days ago | 0

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4つの配列の要素を成分に持つ行列の固有値を求めるスクリプトのベクトル化
clear;clc A=randi(100,[100 100 100]); B=randi(100,[100 100 100]); C=randi(100,[100 100 100]); D=randi(100,[100 100 100]); e...

3 days ago | 1

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Answered
boxplotの中央値の消去&ひげを実線にする方法
clear;clc;close all rng default x = randn(100,10); f=figure xx=[1:10]; boxplot(x,'positions',xx) % Find handle for media...

6 days ago | 0

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Answered
softmax層内での計算方法
こんにちは、以下の通りです a = softmax(n) = exp(n)/sum(exp(n)) https://jp.mathworks.com/help/deeplearning/ref/softmax.html また以下のような記載もあります...

7 days ago | 2

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Answered
LSTMによる複数の入力データを用いた学習方法について
こんにちは、はい、上のようなコードで学習をさせて、resetStateで、メモリなどの蓄積した情報をリセットし、predictAndUpdateStateで、繰り返し予測をしていけば良いと思います。ご提示いただいた例は、1つの値を回帰していますが、今回は、...

7 days ago | 1

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Submitted


Continuous activation map generation at training process
Please click the thumbnail to watch the GIF file. 概要はサムネイルをクリックして下さい.This demo shows how to continuously create a class activati...

10 days ago | 4 downloads |

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Answered
テキストと数値が混在するcsvファイルからのデータ読み込み
clear;clc T=readtable('test2.csv'); cycle=str2double(T{1,2}); time=str2double(T.Var2(4:end)); pw=str2double(T.Var3(4:end)); ...

12 days ago | 1

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Answered
boxplotの横軸に対数スケールを設定することは可能ですか?
rng default x = randn(100,10); figure xx=[1:10]; position=round(10.^(0.5.*xx),0); subplot(3,1,1) plot(position) subpl...

14 days ago | 1

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Answered
3次元でCell毎の平均値を求める
clear;clc C=cell(10,1); for i=1:10 % C{i}=randi(100,[124 40001]); C{i}=ones(124, 40001).*i; end meanC = cellfu...

14 days ago | 1

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Submitted


機械学習による迷惑メールの分類
各単語の出現頻度や単語のベクトル化により、迷惑メールの分類を行います。ナイーブベイズを用いたものと、LSTMによるものの2通りを用意しています。

15 days ago | 4 downloads |

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Visualizing a hyper-plane in SVM classifier(SVMの分離境界面の可視化)
A hyper-plane in SVM classifier was visualized. 3変数にてSVMを使い、分類を行うときの分離曲面を可視化します。

16 days ago | 20 downloads |

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