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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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23 views

Classification of classes within meta-classes

TLTR: I'm developing a CNN for a classification task. The data contains multiple classes some of which are very similar to each other and I know these meta-classes. In such a situation is it a good ...
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28 views

Why validation performance is unstable for my LSTM based model (labelling problems)?

I have trained a recurrent neural network based on 1 stack of LSTM cells. I use it to solve a classification problem. The RNN cell has 48 hidden states. The output of the last unfolded LSTM cell is ...
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1answer
61 views

Multi class text classification with imbalanced data

I am dealing with intent classification task on an Italian customer service data set. I've more or less 1.5k sentences and 29 classes (imbalanced). According to the literature, a good choice is to ...
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70 views

Siamese Network for unknown object

I am currently trying to create a One-Shot network using the Siamese architecture for an object that isn't a face. My problem is, in normal Face Recognition the detecting gadget (e.g. Smartphone) ...
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68 views

Dialects classification using deep learning

Dialects differ a lot between cities in my country, Syria. People sometimes express themselves using different local phrases and idioms which refer to the same topic. So, I came up with the idea of ...
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1answer
16 views

Using convnet to classify language of text contained in images

I hope this question is not too broad or general. I have a very large set of images all of which contain text (some have more, some less). All of them have been tagged as containing, say, English text ...
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20 views

Any guidance on learning rate / batch size for noisy data (high Bayes error rate)?

Is there any guidance available for training on very noisy data, when Bayes error rate (lowest possible error rate for any classifier) is high? For example, I wonder if deliberately (not due to memory ...
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36 views

Bubble Chamber Image Analysis Using Neural Network

I have a data analysis problem that I can reduce to one similar to analyzing the trajectories in the images below. These images show the tracks of subatomic particles interacting in a bubble chamber. ...
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0answers
57 views

Machine learning approach to facial recognition

First of all I'm very new to the field. Maybe my question is a bit too naive or even trivial... I'm currently trying to understand how can I go about recognizing different faces. Here is what I ...
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0answers
15 views

Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
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0answers
46 views

small multinomial Naive Bayes text classification probabilities

When applying multinomial Naive Bayes text classification I get very small probabilities(around 10e-48) so there's no way for me to know which classes are valid ...
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0answers
71 views

How to implement AI/ML to classify various types of files

I am working on a task that requires me to classify a large amount of mixed files on a backup drive (more than 10 TB with more than 32 million files) based on content. The included file types are ...
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0answers
155 views

Fuzzy confusion matrix for fuzzy classifier

Let us suppose I have a NxN matrix and I want to classify in M classes each entry of the matrix using a fuzzy classifier. The ...
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0answers
56 views

Learning from events. Supervised, Unsupervised or MDP?

I have a large set of simulation logs for a market simulation of which I want to learn from. The market includes: customers products (subscriptions) The customers choose products and then stick with ...
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80 views

Problem with the PLN classifier

I'm developing a chatbot, and to get the answer I'm using the Naive Bayes classifier by sorting the questions and answers. For those who want to see the whole project code and more definitions follow ...
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0answers
95 views

Infer dependent variables to produce output aligned to trained data

Hypothetical example, say I wanted: P(gender,ethnicity|age,hair); so that the input would aligned to a trained dataset of: ...
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2answers
99 views

What kind of problem is “email text extraction”?

I need to retrieve just the text from emails. The emails can be in HTML format, and can contain huge signatures, disclaimer legalese, and broken HTML from dozens of forwards and replies. But, I only ...
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1answer
122 views

Can an object's movement (instead of its appearance) be used to classify it?

I know that it is very common for machine learning systems to classify objects based on their visual features such as shapes, colours, curvatures, width-to-length ratios, etc. What I'd like to know ...
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1answer
67 views

How to make training data for AI

Right now I'm planning to make a DNN for classifying taste of crystals with their molecular structure which include information like no of atoms mass of each atoms atomic no of atoms. How should I ...
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1answer
164 views

How does Wolfram's Image Identification Project work?

Wolfram Language Image Identification Project launched an Image Identify site demo which returns the top predicted tags for the photos. How does it work, briefly? I mean what type of learning vision ...
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1answer
20 views

Solution to classify product names

I have a bunch of training data for classifying product names, around 30,000 samples. The task is to classify these product names into types of product, around 100 classes (single words). For example:...
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1answer
32 views

Is there any way to classify Document Image without OCR?

I have multiple invoices images which need to classify invoice types such as fright, utility, goods, etc. Is there any way to classify without OCR?
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1answer
40 views

How to identify whether images contain driver's licenses or ID cards

Suppose I have a lot of scans of hardcopy documents, in the form of jpegs. Some of them are potentially scans of driver's licenses or identification cards. I wonder what would be a good way to ...
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1answer
59 views

Does a data structure that models the encoding specificity principle in memory exist?

I find myself wondering if there exists a data structure with the following properties: Stores information Conforms to the encoding specificity principle
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1answer
50 views

Using unsupervised learning for classification problems

Let's say there are two types of cancer(Type 1 and Type 2). Say we want to see if one of pour friends has cancer Type 1 or 2. We can treat this as a classification problem. But what if we use ...
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1answer
57 views

Doubts at basic step of learning problem

Question: Express each of the following tasks in the framework of learning from data by specifying the input space X, output space Y, target function f:X->Y and the specifics of the data set that we ...
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1answer
46 views

How does an svm work? How does it perform comparisons between malignant and benign tumor

How do Support Vector Machines (SVMs) differentiate between a glass and a bottle or between a malignant and a benign tumor when it dealing with it for the first time? What will be the analysis ...
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1answer
41 views

Decision tree classifier

I have seen weka j48 classifier, I want to build a classifier similar to it but I don't know how to go about it. Can anyone advice me on how to create a classifier algorithm for decision tree?
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1answer
95 views

Is there any research on neural networks with multiple outputs for hierarchical label classification?

I had this idea of training for example a CNN on images, and having output branches at several of its intermediate layers. The early layers' output branch might then predict high-level class of ...
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1answer
38 views

How to handle classification with label updates?

Suppose that my task is to label news articles; that is, to classify which category a news article belongs to. Using the labelled data (with old labels) that I have, I have trained a model for this. ...
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1answer
47 views

TF Keras: How to turn this probability-based classifier into single-output-neuron label-based classifier

Here's a simple image classifier implemented in TensorFlow Keras (right click to open in new tab): https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/...
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0answers
7 views

Fusing label distribution and on-hot encoded labels

A while ago I came across a paper for image classification that utilized both label distribution and one-hot encoded labels to classify images. An image has a label distribution for all classes (4 ...
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0answers
59 views

What to do when an image classifier does good for a class but bad for another?

So I wrote a convolutional neural network for a binary image classification. I have around 5300 images for each class which I thought would be enough to at least give me a good accuracy on the ...
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1answer
20 views

How to change this RNN text classification code to become text generation code?

I can do text classification with RNN, in which the last output of RNN (rnn_outputs[-1]) is used to matmul with output layer weight and plus bias. That is getting a word (class name) after the last T ...
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1answer
32 views

Maximum Likelihood Classifier vs. Bayesian Network

I am confused in understanding the Maximum Likelihood as a classifier. I know what is Bayesian network and I know that ML is used for estimating the parameters of models. Also, I read that there are ...
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0answers
15 views

Probabilistic classification - normalize results

I have a probabilistic classifier that produces a distribution over my 3 classes - C1, C2, C3. I want to compare some new points I'm classifying to each other, to see which one is the best fit for a ...
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1answer
64 views

Should I use single or double view for gender recognition?

My project requires gender recognition of people shown on the given images, with more than one person per image. However, these people can be positioned in frontal or side view(passing by ...
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0answers
10 views

Training Haar Cascade model with grey vs color images

Most examples if not all, are models that have been trained with images that are turned grey. Does this mean that models only detect edges? Why wouldnt you want to keep color so that model could learn ...
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1answer
85 views

Detecting playing cards with a neural network

I want to train an AI to detect playing cards. For that reason I bought many different decks, scanned and labeled them. Next up would be to create training data with an augmentation library. I found ...
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0answers
12 views

Embedding Gensim fast-text

Would you suggest to train my own Fast-text embedding using the Gensim library despite i have 1800 sentences and 2k vocabulary length? Don't you think there are too few words? or is there not a ...
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0answers
30 views

Can we compare MAE MSE results with categorical_crossentropy?

can i compare MAE and MSE loss results of a regression CNN with categorical_crossentropy loss of a classification CNN if they both have similar tasks? is yes how to?
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0answers
28 views

metrics evaluation multiclass classification

I am working on intent classification task (chatbot engine), 2k sentences, 24 classes. Major class is composed of about 150 sentences, minor class of about 35 sentences, the others are more or less ...
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0answers
29 views

identifying pattern in datasets

i am new to machine learning. i'm trying to identify driving pattern through accelerometer and gyroscope sensor. i have been collecting the data of both the sensors and have been storing them in .csv ...
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1answer
50 views

Python Network for Simple Image Classification

I'm wondering if there exists a network for simple image classification. What I mean by this is if I have two image datasets, one of horses and one of zebras, I want to train off the horses and ...
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1answer
47 views

Relationship between input range and channel means, standard deviations for CNNs

So, I'm using a pretrained pnasnet5large model to do some image classification (https://github.com/Cadene/pretrained-models.pytorch/blob/master/pretrainedmodels/models/pnasnet.py) In the file, it ...
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2answers
650 views

What algorithm should I use to classify documents?

I'd like to build a program that would learn to automatically classify documents. The principle would be that, for each new document I add to the system, it would automatically infer in which category ...
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1answer
213 views

How does Pinterest decipher what's on unmarked pictures and categorize them?

According to this article, Pinterest acquired VisualGraph, an image recognition and visual search technology startup. How does Pinterest apply VisualGraph technology for machine vision, image ...
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1answer
154 views

Using 3D Points as Inputs to a Neural Net

I am currently looking to use a neural network to classify gestures. I have a series of Dx,Dy,Dz readings that represent the differences across the three axes made during the gesture. About 10 ...