Classification Trees vs Neural Networks

[squaremeplz]

Homework Statement

Hi there,

I was wondering if anyone out there was familiar with image classification algorithms. I have been creating histograms of pixel intensity distributions.

For example, suppose I have 100 images of a tiger and 100 images of a lion.

I create 100 histograms using the tiger images (that is, create bins 0-10, 10-20,...,250-260) and get 100 CDF.

I do the same for the images of the lions.

Then, I just take the inner products of the unknown CDF and the known CDF. The one's with the greatest inner product is the class I assign the image to.

Does anyone have any good reading material regarding this type of problem? My method can take a long time depending on the resolution of the images.

 

[lippyka]

Homework Equations None.The Attempt at a SolutionThere are a few different approaches to image classification. One approach is to use supervised machine learning algorithms, such as Support Vector Machines (SVMs), k-Nearest Neighbors (KNNs), and Random Forest classifiers. These algorithms can be trained on labeled data to recognize patterns in the input images, and then classify new images using these patterns.Another approach is to use unsupervised clustering algorithms, such as K-means or hierarchical clustering. These algorithms operate by grouping together similar images based on some measure of similarity. Once the clusters have been formed, they can then be used to classify new images.Finally, another approach is to use deep learning architectures, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs). These architectures can be trained on large datasets of labeled images in order to learn complex features and patterns that can be used for image classification.In terms of reading material, there are many books, tutorials, and papers available on the topic of image classification. A few particularly good ones are:- Deep Learning for Computer Vision with Python by Adrian Rosebrock- Image Analysis and Text Understanding by David Forsyth- ImageNet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky et al.Hope this helps!