1,632 questions
Advice
2
votes
0
replies
143
views
Is clothing-invariant person recognition possible using still images only?
I am working on a person recognition system for learning purposes.
My goal is:
Maintain a small gallery of known people (multiple images per person)
Given a new query image, return the most similar ...
1
vote
0
answers
56
views
Learn 2D Feature Map for Texture Classification
For a bit of context, I am working in a lab where we use a dissimilarity map to characterize textures between them, called LDM (Local Dissimilarity Maps)[1]. Recently, this was further enhanced by ...
0
votes
0
answers
31
views
How to get EEGLAB data after clustering ICs
I am having a problem as follows:
I have a STUDY with information such as ICA and IC cluster separation, my studydesign in EEGLAB has conditions and groups and the data has been cleaned and segmented. ...
0
votes
0
answers
77
views
Node2vec embeddings for Fraud Detection?
I tried to improve XGBoost by stacking node2vec embeddings to the original features for fraud detection. In literature and papers this is frequently discussed as a good method to enhance prediction ...
1
vote
0
answers
29
views
Extract features from audio
I am trying to find a way to extract certain audio features which are MDVP:Fo(Hz), MDVP:Fhi(Hz), MDVP:Flo(Hz) (Frequencies)
Jitter and Shimmer (Variations of sound)
NHR and HNR (Noise to Harmonic ...
2
votes
2
answers
103
views
Optimizing feature extraction with sklearn tfidf
I'm working on a Python project that mimics https://www.mtgassist.com/. For those not too familiar: Magic is a trading card game that has collectible cards that can be very expensive. The project ...
2
votes
1
answer
53
views
Graph features with low computational complexity
I'm trying to cluster some unlabeleded unweighted undirected graphs. I'd like to calculate some scalar features for each of them to build an embedding vector and then use a clustering algorithm to see ...
0
votes
1
answer
48
views
Why does the PDF of the feature vector follow a Gaussian mixture?
I am attempting to perform an image classification task on a dataset with
𝐿 classes. The network I am using is divided into a feature extractor and a classifier. When an image is passed through the ...
0
votes
1
answer
151
views
How many features are needed to extract for PCA using python tsfresh
I'm working on a project using gas sensory data from a gas sensor array (15 sensors). When I sample gas this instrument creates a time series with the value of the resistance measured across each ...
1
vote
0
answers
109
views
AttributeError: "The layer sequential_2 has never been called" when trying to generate Grad-CAM heatmap from a trained ResNet50 model
I'm working on generating a Grad-CAM heatmap from a trained ResNet50 model, but I've been encountering a persistent error related to sequential_2. Despite feeding the model with input images, I keep ...
-1
votes
1
answer
123
views
3D machining part Feature Recognition (Point Cloud, Mesh)
I have a machining part (.STL) and want to recognize (and extract) it's machining features. Some of the features are simple but some are more complex that's why I think a machine learning approach ...
-2
votes
2
answers
85
views
ValueError When Combining Numerical, Categorical, and Image Features for Machine Learning Model
I’m encountering a ValueError while attempting to combine numerical, categorical, and image features into a single feature set for a machine learning model. I have followed the steps for feature ...
1
vote
1
answer
127
views
Extract hidden layer values from pytorch model
I have trained ghostnet model which has last classifier layer. It is 1280 x 4 shape in my case.
(classifier): Linear(in_features=1280, out_features=4, bias=True)
I would like to get 1280 input values ...
0
votes
0
answers
97
views
Why is my code leaking memory despite using Garbage Collector?
We are creating the Music-Genres Classification ML model for college final year project. We are trying to extract features from Sound using Librosa. This is the code We wrote. But This code is leaking ...
0
votes
0
answers
37
views
Unexpected MSE Behavior in Online Federated Learning Simulation Using Random Fourier Features (RFF) Based Kernel LMS
I am trying to simulate the Online Federated Learning framework presented in the paper "Communication-Efficient Online Federated Learning Framework for Nonlinear Regression" by Gogineni et ...