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Questions tagged [classification]

For questions related to the placement of individual cases into categories, such as is essential in fraud detection, spam detection, quality control, prediction of user or market responses, automated organizing or indexing, assigning objects in view to types of obstacles or risks, writing or typing recognition, phonic recognition, .

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60 views

How to choose our data set wisely?

I have a couple of questions and I was wondering if you could answer them. I have a bunch of images of the cars, side view only. I want to train the model with those images. My objects of interest ...
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0answers
34 views

Can GANs be used to generate matching pairs to inputs?

I have some limited experience with MLPs and CNNs. I am working on a project where I've used a CNN to classify "images" into two classes, 0 and 1. I say "images" as they are not actually images in the ...
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0answers
73 views

When to use which metric in machine learning?

In machine learning, there are several metrics to assess the quality of the models: accuracy, precision, recall, f measure, ROC (AUC), etc. There are cases when certain metrics are more appropriate ...
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0answers
27 views

Is making lot of 1 versus other model efficient?

I've got classification problem on image, I have 10 classes and when I fine tuned my model on it (I tried VGG, Xception, resnet etc) I have approximatly 83% validation accuracy. I was wondering if ...
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1answer
48 views

Grading Questions Using Neural Networks

I have a questionnaire consisting with over 10 questions. The questionnaire is being answered by a lot of people - which I have manually graded. Each question can give the user up to 10 points ...
2
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0answers
14 views

Property based clustering

I've got a challenge that feels like it should be solvable using some kind of clustering algo, but I can't get my head around how I can change the perspective such that it is solvable for such an algo....
2
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0answers
64 views

Variable sized input-Multi Label Classification with Neural Network

I have a data input vector ( No Image classification) which size varys from 2 to 7 entrys. Every one of them belongs to a class Out of 7. So I have a variable Input size and a variable Output size. ...
2
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0answers
133 views

Search minimum value with learning machine algorithm

I was wondering if its possible to classify or learn to estimate the minimum value in a table if the values are integer and represented 32 bits, and we can input all variable at the same moment like ...
2
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0answers
35 views

Detecting symmetry in small images with RNN

My network works on 32x32 normalized (translationally) but noisy images. Its task it to determine whether image has simple symmetry (horizontal/vertical). It needs to be reasonably robust to rotation (...
2
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0answers
304 views

CNN attention maps on non-images

My datasets are not actual images, so using methods with ImageDataGenerator or pre-trained networks might not apply in this case. Data Structure: Each "image" is a 2048-long vector that has float ...
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0answers
66 views

Is there a measure of AI relative strength, modified by resources?

For instance Strength/Size*Speed, where size and speed refer to memory and processing. We now have very strong, narrow AI, but they tend to run on fast hardware without volume restrictions. To ...
2
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1answer
60 views

How do I classify an image that contains only polygons?

I have two closed polygons, drawn as connected straight black lines on a white background. I need to classify such images in to three forms Two separate polygons One polygon encloses the other The ...
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3answers
742 views

Ensemble Learning using Convolutional Neural Networks

I have created 22 different Convolutional neural networks that all test for the presence of unique objects in an image (each one of the classifiers is unique). Each sample in the test set has the ...
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1answer
100 views

How to refine K-means clustering on a data set?

I'm working with a data set where the data is stored in a string such as AxByCyA where A, B ...
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2answers
2k views

How successfully can convnets detect NSFW images?

For example, search engine companies want to classify their image searches into 2 categories (which they already do that) such as: NSFW (nudity, porn, brutality) and safe to view pictures. How can ...
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1answer
10 views

What are causative and exploratory attacks in Adversarial Machine Learning?

I've been researching Adversarial Machine Learning and I know that causative attacks are when an attacker manipulates training data. An exploratory attack is when the attacker wants to find out about ...
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1answer
19 views

Are there deep networks that can differentiate object class from individual object?

We usually categorize objects in a hierarchy of classes. Let us say crow vs bird. In addition, classes can be "messy", for instance a crow can be also a predator, but not all birds are predators. My ...
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1answer
38 views

TensorFlow estimator DNNClassifier fails to fit simple data

The ready-to-use DNNClassifier in tf.estimator seems not able to fit these data: ...
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1answer
41 views

Do I need to use a pre-processed dataset to classify comments?

I want to use Machine Learning for text classification, more precisely, I want to determine whether a text (or comment) is positive or negative. I can download a dataset with 120 million comments. I ...
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1answer
38 views

Why don't we perform classification of crowd density?

For the case of crowd density estimation using CNN, using datasets like shanhaiTech or UCF, why there hasn't been attempts to tackle this type of task as a classification problem? All current papers I'...
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2answers
348 views

What is the difference between imitation learning and classification done by experts?

In short, imitation learning means learning from the experts. Suppose I have a dataset with labels based on actions of experts. I use a simple binary classifier algorithm to assess whether it is good ...
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2answers
2k views

Keras : get back labels from a model

I have a saved keras model. How can I get back the labels from the model ? Because right now, I can use the predict method to get back the probability for a sample to belong to a certain class e.g. ...
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2answers
75 views

Classifying non-labeled data with high dimensionality

Disclaimer: I am a novice in the world of machine learning, so please excuse my ignorance. My dataset consists of things like age, days since last visit, etc. This information is medical related. ...
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1answer
16 views

The best way of classifying a dataset including classes with high similarity?

I have a dataset which has two very similar classes (men wrestling, women wrestling). I've used InceptionV3 as a classifier to solve the problem of classifying this dataset. Unfortunately, the ...
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1answer
33 views

Why is image classification tasks are dominated by minimizing cost function instead of maximizing ones?

I was watching a video of policy gradient by Andrej Karpathy at 10:00 there shows an equation for supervised learning for image classification. $max\sum _{i}log \:p(y_i|x_i)$ I have worked with ...
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1answer
43 views

Is there a theory behind which model is good for a classification task for the convolutional neural network?

Let say I'm trying to apply CNN for image classification. There are lots of different models to choose and we can try an ensemble, but given a limit amount of resources, it does not allow to try ...
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1answer
60 views

How does the CTC loss work?

I am trying to implement CTC loss in Tensorflow, but their documentation is pretty limited. So I am not sure how to approach the problem. I found a good example in Theano: https://github.com/...
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1answer
45 views

How do I classify strings with possibly no meaning?

I am quite new to text classification. Using EAST text detection model, I get multiple strings that aren't words and most often have no meaning. For example, IDs, brand names, etc. I would like to ...
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1answer
82 views

Multi-label classification (e.g. as used in Keras) using DNN

I have data with about 100 numerical features and a multi-labelling that encodes ownership of a certain product (i.e. my labels are of the form $[x_i, i=1, \dots, n]$ where n is the number of products ...
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1answer
57 views

Why doesn't my image classification network get better with training?

I am attempting to train a network to do something I thought would be a relatively simple case to learn with: identify whether the back of a scanned vintage postcard has one of 'no postage stamp', a '...
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1answer
28 views

Beginner - Object classification data in a neural network

Imagine I wish to classify images of digits from 0-9. Let's say I have trained the network to recognise '1'. If I were to train the same network to recognise '2', wouldn't the backpropagation process ...
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1answer
41 views

Can current AI techniques distinguish a fake old paper from a real one?

It is an easy matter to make a paper look old, for example, using any of the techniques explained on this page of WikiHow: https://www.wikihow.com/Make-Paper-Look-Old. Is current AI sufficient to ...
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1answer
31 views

Recognising Noise in Simple Classification

I have created a classifier for some simple gestures using an input layer, a hidden layer with tanh activation and an output softmax layer, I'm also using the Adam optimiser. The network classifies ...
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1answer
73 views

Decision tree: more than 2 classes, how to represent elements that are in a class vs ones that aren't?

I'm building a decision tree and would like to separate (for example) the elements that are in class 0 from those in classes 1 and 2, case in point: ...
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1answer
40 views

Improving learning rate for classification task

I am trying to perform classification task using Keras and tensorflow. However, the learning converges after achieving an accuracy of 57%. All my inputs and outputs are categorical data. Am I using ...
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2answers
240 views

Is there a way to classify sounds

To classify images we are using the tensorflow incection v3 NN. Is there a similar approach to classify sounds? As for example to be able to recognize the person who is talking or classify a general ...
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1answer
190 views

GA rule discovery fitness function

I'm attempting to develop a genetic algorithm capable of discovering classification rules for a given data set, a number of papers make use of the Confidence (precision) and Coverage of a rule to ...
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1answer
413 views

Why do action recognition algorithms perform better on ucf101dataset than HMDB51 dataset?

If we look at state of the art accuracy on the UCF101 data set, it is around 93% whereas for the HMDB51 data set it is around 66%. I looked at both the data sets and both contain videos of similar ...
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0answers
12 views

CNN multi output scores and evaluation

I am building a CNN with two outputs. I still have to put time in the network itself, but I was trying to get a good evaluation/classification report of the results. My code is the following: ...
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0answers
9 views

Is there any time-varying directed graph dataset?

I am interested in the node classification task for graph data. So far,I've tried it with the Cora dataset, but it is an undirected graph and has word attributes as features. I want to extend this ...
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1answer
32 views

How to use a deep learning network on new data-set?

I am trying to use a network for classification. This network works very well on the author's example data, but doesn't work on new data. Currently, I am using the popular EEG Motor Movement/Imagery ...
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0answers
15 views

Trying to separate spiral data with neural network, learning tensorflow

I am learning how to use tensorflow without keras, just to make sure I understand tensorflow directly. I created a spiral-looking datasets with 100 points of each class (200 total), and I created a ...
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0answers
29 views

Indian Traffic Sign Dataset

I am looking for the Indian Dataset of traffic signs. There is a dataset developed recently IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments which contains ...
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0answers
11 views

A NN based model of a Cattle for 'Heat Detection'

I am very new to AI/ML but have lot of interest in these. I am trying to understand how this gadget works. So far I have understood that a NN model of the cattle is generated by offline ...
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0answers
62 views

Is this a classification problem?

I’m not really sure which machine learning approach is best for my problem at hand. I work in an engineering company that designs and builds different kinds of ships. In my particular job, I collect ...
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1answer
20 views

Obtain the most important input data for binary classification on a neural network

I have a simple neural network for binary classification. Input features into this network include: age, sex, economic_situation, illness, disability, etc. and the output is simply 1 and 0 I would ...
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0answers
12 views

Binary annotations on large, heterogenous images

I'm working on a deep learning project and have encountered a problem. The images that I'm using are very large and extremely detailed. They also contain a huge amount of necessary visual information, ...
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1answer
64 views

How can I stabilise a recurrent neural network used for binary classification?

I’m looking for some help with my neural network. I’m working on a binary classification on a recurrent neural network that predicts stock movements (up and down) Let’s say I’m studying Eur/Usd, I’m ...
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0answers
23 views

Would this NN for my chip outputs work?

I'm a grad student from EE. So, basically, there's an electrical circuit that is supposed to output "0" or "1" by exactly 50 to 50 chance. It generates a number of big arrays of 0s and 1s, each of ...
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0answers
12 views

Evaluation metrics multi-class classification (ROC- PR curves)

Facing with a multi-class classification task, my question is: are ROC and Precision-Recall (One-vs-All-Rest) curves useful to evaluate and visualize the performance of a model? or Confusion ...