SJTU EI229: Image Classification based on machine learning; 基于CART和C4.5的图像二分类
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Updated
Jul 5, 2020 - MATLAB
SJTU EI229: Image Classification based on machine learning; 基于CART和C4.5的图像二分类
A Ferrero Roche box Convolutional Neural Network classifier (discontinued).
Combine two Classifiers which are trained on different features...
A matlab experiment manager to select models or classifiers easily.
Predicts if an online news article will be shared often or not.
An ensemble of classifiers to determine the risk of myocardial infarction (MI).
An implementation of a minimum distance to class mean classifier using Euclidian distances
Implementation of Naive Bayesian Classifier in Matlab
Convolutional Neural Netowork for Independent Component Classificaiton
Classification of normal and mental disorder EEG signal based on Machine Learning algorithm.
⬛ ⬜ Binary Image Classifier using Gaussian Mixture Models written in MatLab (2017)
A Matlab script that applies the basic sequential clustering to evaluate the number of user groups by using the hierarchical clustering and k-means algorithms. Using the k-means fold the classifiers that are a neural network and the other least squares to evaluate them.
A New Classification Method Using Soft Decision-Making Based on an Aggregation Operator of Fuzzy Parameterized Fuzzy Soft Matrices
MATLAB code to calculate a new version of the Signed Rank Test for comparing two classifiers on multiple datasets, as explained in a paper by Benavoli et al. (2017). The code is adapted from the python library baycomp.
Numerical Data Classification via Distance-Based Similarity Measures of Fuzzy Parameterized Fuzzy Soft Matrices
A Classification Method in Machine Learning Based on Soft Decision-Making via Fuzzy Parameterized Fuzzy Soft Matrices
The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell ph…
ICML 2013. Semi-supervised classifier with squared-loss mutual information regularization
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
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