Tripoli Settou
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質問
How can I run ten times with randomized data by using imageDatastore ? And how to do cross-validation by imageDatastore?
Hi, to test my project I split my data into data of train and data test... this is the code [ImagesTrain,ImagesTest] = Spl...
6年以上 前 | 0 件の回答 | 0
0
回答質問
KMeans doesn't work in station laptop RAM 64 G CPU E5-2620v3@2.40GHz?
Hi I want to classify my data into two class (1 or 2) I choose the ratio of training 70/30 and I have 7148 images ( 3501 sampl...
6年以上 前 | 0 件の回答 | 0
0
回答質問
Error using pdist2mex Error in kmeans>distfun
Hi, To represent our data (3233477*256) with Bag of visual word (BOW) which use KMeans clustering to extract visual words wh...
6年以上 前 | 0 件の回答 | 0
0
回答質問
Error using pdist2mex Error in kmeans>distfun
Hi, To represent our data (3233477*256) with Bag of visual word (BOW) which use KMeans clustering to extract visual words wh...
6年以上 前 | 2 件の回答 | 0
2
回答質問
Error using segminopt>segminoptmpl No convergence achieved within maximum number of iterations
Hi, I have problem to using SVM Classifier when i extracted the features from train data (13393 of images) and from test data (5...
6年以上 前 | 1 件の回答 | 0
1
回答質問
What's the name of the fully connected layers in googlenet?
The name of the first and second fully connected layer are 'fc6' & 'fc7' respectively in (Alexnet, VGG16,VGG19). the question is...
7年弱 前 | 1 件の回答 | 0
1
回答質問
How to use VGG-S and how to extract output features by it?
Hi everyone, In deep learning there are many model of convolution neural network CNN. To try VGG-S model, I download "image...
7年弱 前 | 0 件の回答 | 0
0
回答質問
how to combine the different features vectors to make single feature vector?
Hi everybody, Can anyone tell me how to combine the different features vectors to make single feature vector? I find that integ...
7年弱 前 | 0 件の回答 | 0
0
回答質問
No appropriate method, property, or field 'blobs' for class 'SeriesNetwork'
I am getting error No appropriate method, property, or field 'blobs' for class 'SeriesNetwork' when I execute this instructio...
7年弱 前 | 0 件の回答 | 0